Bespoke Photonic Devices Using Ultrafast Laser Driven Ion Migration in Glasses ⇑ T.T
Progress in Materials Science 94 (2018) 68–113
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Progress in Materials Science
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Bespoke photonic devices using ultrafast laser driven ion migration in glasses ⇑ T.T. Fernandez a,1, M. Sakakura b,1, S.M. Eaton a, B. Sotillo a, , J. Siegel c, J. Solis c, Y. Shimotsuma d, K. Miura d a Istituto di Fotonica e Nanotecnologie-Consiglio Nazionale delle Ricerche (IFN-CNR), Milano, Italy b Optoelectronics Research Centre, University of Southampton, Southampton, United Kingdom c Laser Processing Group, Instituto de Optica, Consejo Superior de Investigaciones Científicas (IO,CSIC), Madrid, Spain d Department of Materials Chemistry, Kyoto University, Kyoto, Japan article info abstract
Article history: This Review provides an exhaustive and detailed description of ion migration phenomena Received 16 August 2016 which occur inside transparent dielectric media due to the interaction with intense ultra- Accepted 20 December 2017 short pulses. The paper differentiates various processes underlying the ion migration influ- Available online 29 December 2017 enced by simultaneous heat accumulation and diffusion. The femtosecond laser induced temperature distribution, the major driving force of ions in dielectrics, is described in detail. Keywords: This discussion is based on three meticulous analysis methods including the thermal modi- Femtosecond laser micromachining fication of transparent dielectrics at various ambient temperatures, numerical simulations Ion-migration and comparison with direct observation of the light-matter interaction and micro-Raman Scanning electron microscope Glass spectroscopy. The ion migration phenomena studied have been triggered in four different Waveguides configurations: at low repetition and high repetition rates, and observations perpendicular Photonic devices and parallel to the laser irradiation direction. Inspired by this research, potential applications are highlighted including space-selective phase separation, a laser-based ion exchange fabrication method and optical micropipetting by tailoring the plasma profile. Ó 2018 Elsevier Ltd. All rights reserved.
Contents
1. Introduction ...... 70 2. Background...... 70 2.1. Femtosecond laser sources ...... 70 2.2. Femtosecond laser microfabrication ...... 71 2.2.1. Nonlinear absorption ...... 71 2.2.2. Relaxation and material modification ...... 72 2.3. Dielectric materials used for fabrication ...... 74 2.4. Characterization techniques ...... 74 3. Basic principle of heat accumulation and ion migration by fs laser irradiation...... 75 3.1. Observation of thermal diffusion after single fs laser irradiation inside a glass ...... 77 3.1.1. Observation of thermal diffusion by a transient lens (TrL) method ...... 77
⇑ Corresponding author at: Istituto di Fotonica e Nanotecnologie-Consiglio Nazionale delle Ricerche(IFN-CNR), Milano, Italy (B. Sotillo). E-mail address: [email protected] (B. Sotillo). 1 Co-first authors. https://doi.org/10.1016/j.pmatsci.2017.12.002 0079-6425/Ó 2018 Elsevier Ltd. All rights reserved. T.T. Fernandez et al. / Progress in Materials Science 94 (2018) 68–113 69
Nomenclature
Acronym Meaning AR Aspect Ratio Bi Bidirectional pumping BSE Back Scattered Electrons CCD Charge-Coupled Device CW Continuous-Wave DIC Differential Interference Contrast EBSD Electron Back Scattered Diffraction EDS, EDX Energy Dispersive X-ray Spectroscopy EELS Electron Energy Loss Spectroscopy EPMA Electron Probe Microanalysis FT Fourier Transform HAADF High Angle Annular Dark Field HRR High Repetition Rate ICCD Intensified Charge-Coupled Device IFT Iterative Fourier transform IG Internal Gain LCOS Liquid Crystal on Silicon LRR Low Repetition Rate NA Numerical Aperture OM Optical Microscope ORA Optimal Rotation Angle ppmw Parts Per Million Weight R Repetition rate RE Rare-Earth RIC Refractive Index Contrast SA Spherical Aberration SEM Scanning Electron Microscopy SLM Spatial Light Modulator STEM Scanning Transmission Electron Microscopy
Tout Threshold Temperature TEM Transmission Electron Microscopy TL Thermal Lens TrL transient Lens ULE Ultra-Low Expansion Uni Unidirectional pumping WDS Wavelength Dispersive Spectroscopy m-PL Micro-Photoluminescence m-Raman Micro-Raman
3.1.2. Observation of thermal diffusion by micro Raman measurement...... 79 3.2. Heat accumulation with a high repetition rate laser ...... 80 3.2.1. Simulation of heat accumulation...... 80 3.2.2. Evaluation of the temperature distribution during high repetition rate laser irradiation ...... 81 3.2.3. Mechanism of thermal modification inside glasses ...... 84
3.2.4. Interpretation of different Tout by the viscoelastic model ...... 86 3.3. Absorptivity and photoexcitation mechanism...... 87 3.4. Trends of ion migration observed perpendicular to the incident laser ...... 89 4. High repetition rate laser irradiation ...... 91 4.1. Observation of ion migration with high repetition rate lasers ...... 91 4.1.1. Ion migration in phosphate glass waveguides ...... 94 4.1.2. Ion migration in tellurite glass waveguides ...... 94 4.1.3. Dual regimes of ion migration ...... 95 4.2. Controlling the directionality of ion migrations ...... 97 5. Application of ion migration ...... 100 5.1. Space-selective phase separation ...... 100 5.2. Replacing the ion exchange method ...... 101 5.3. Optical micropipette through plasma shaping ...... 103 6. Modification of ion migration with multiple spot irradiation ...... 103 6.1. Modification of ion migration...... 103 70 T.T. Fernandez et al. / Progress in Materials Science 94 (2018) 68–113
6.2. Principle of a holographic laser irradiation ...... 104 6.3. Modification of ion migration perpendicular to the laser propagation ...... 105 6.4. Modification of ion migration parallel to the laser propagation ...... 106 6.5. Possible applications of ion migration with multiple spot irradiation...... 109 7. Conclusion ...... 109 References ...... 109
1. Introduction
Studying the underlying physical mechanisms from its smallest possible dimension provides extraordinary precision and control for any experimental technique. One such method that has benefited from new physical insights is ultrafast laser waveguide writing in glasses. Here, femtosecond laser pulses are focused beneath the surface of glass, with light nonlinearly absorbed to yield a permanent and localized refractive index modification. By translating the sample relative to the laser, optical waveguides can be inscribed along 3D trajectories, enabling novel integrated optical devices ranging from UV [1] to Terahertz [2]. However, controlling the refractive index modification, which affects the quality of photonic circuits, is a challenge that has yet to be met by researchers. Since the pioneering work by Miura’s group in 1996, bulk modification of glasses by ultrafast laser irradiation has been studied extensively, with over two thousand papers citing the seminal paper [3]. Several mechanisms have been proposed to explain the ultrafast laser induced refractive index change, including heat accumulation [4,5], thermal quenching [6,7], structural modification [8], color center formation [9], shock wave propagation and nanograting formation [10]. All of these effects influence the resulting morphological change, but their prominence depends on the laser processing conditions and glass type. The crucial role of ion migration during femtosecond laser writing has been disregarded until only recently. The first ever report of ion migration was from Miura’s group while studying space selective crystallization in amorphous dielec- trics using a 800 nm, 130 fs, 200 kHz femtosecond laser [11]. The authors suggested that crystal nuclei are formed at points where the crystallization temperature is exceeded, due to atomic diffusion and the microstructure rearrangement. As described in this Review, ion migration is always present during ultrafast laser processing of glasses, and provides unprece- dented control over the refractive index modification, enabling bespoke photonic devices. This Review provides a coherent overview of the numerous reports of ion migration during ultrafast bulk laser microfab- rication, giving a more complete understanding of the underlying laser-material interaction physics. The results are classified into low and high repetition rate regimes – at high repetition rates (HRR, >200 kHz), there is an accumulation of heat between successive pulses [4]. Although there is not sufficient thermal accumulation at lower repetition rates (<10 kHz), the spatial distributions of heat buildup and ion migration can be modulated with a hybrid approach based on parallel irradiation with high and low repetition rate sources. Additionally, the observation of migration of ions is performed in two different configurations (a) parallel and (b) perpendicular to the incident laser direction. This Review gives insight into the strong difference observed in ions migrating in both configurations, and analyzes the dependence of ion migration on the glass composition. This Review is set to stimulate new research to better comprehend fundamental light matter interactions, which will lead to a further improvement in the performance of integrated optical circuits applicable to sensing [12,13], fiber to the premise [14], astrophotonics [15,16] and quantum information [17].
2. Background
2.1. Femtosecond laser sources
When the first optical waveguide was demonstrated using femtosecond laser writing in 1996 by Miura’s group [3], there was a limited range of suitable ultrafast laser sources. To achieve the necessary peak intensity ( 1013 W/cm2 [18]) to drive nonlinear absorption in glasses, focused femtosecond laser pulses from high energy (>1 lJ) amplified Ti:Sapphire lasers with pulse durations of 100 fs were employed. However, Ti:Sapphire laser systems have several disadvantages for femtosecond laser processing. First their complexity of alignment and mode locking and sensitivity to environmental conditions make them unsuitable for stable long-term operation. Schaffer and Mazur were the first to demonstrate that optical waveguides could be formed with lower energy ( 10 nJ), high repetition rate ( 10 MHz) femtosecond laser oscillators [19]. Please see Sections 2.2.2.1 and 2.2.2.2 for detailed discussions. Although high repetition rate femtosecond laser oscillators are promising for waveguide writing, the low nanojoule pulse energies require a high NA (1.0–1.4 NA) oil immersion microscope objective to induce nonlinear absorption. Since the work- ing distance of such objectives are about 150 lm, this limits the possibility to form out of plane waveguides, hindering the most compelling advantage of femtosecond laser writing, i.e. 3D microfabrication. In the past ten years, high-repetition rate bulk solid state [20] and fiber [21] femtosecond lasers providing pulse energies of 1 lJ have been developed. The higher pulse energies available from these sources allow for a weaker focusing condition, enabling true 3D processing, while still maintaining nearly circular waveguide cross sections and mode shapes, for efficient coupling with external fibers. Generally, femtosecond fiber lasers are favored over bulk solid state systems based on Yb:KYW, T.T. Fernandez et al. / Progress in Materials Science 94 (2018) 68–113 71
Yb:KGW or Yb:YAG due to their higher average power, less-stringent cooling requirements, higher beam quality, and more stable operation. Table 2-1 summarizes commercial femtosecond laser systems suitable for optical waveguide writing in transparent materials.
2.2. Femtosecond laser microfabrication
Focused femtosecond laser pulses yield peak intensities greater than 10 TW/cm2, which cause strong nonlinear absorp- tion and localized energy deposition in the bulk of transparent materials such as glass. After several picoseconds, the laser- excited electrons transfer their energy to the lattice, leading to a permanent modification. Depending on the laser and mate- rial properties, this modification may result in damaged and irregular scattering centers, or smooth structures with a positive refractive index alteration.
2.2.1. Nonlinear absorption Focused femtosecond laser pulses, with wavelengths typically in the visible or near-infrared, do not have enough photon energy to be linearly absorbed in glasses. Instead, valence electrons may be promoted to the conduction band through non- linear photoionization, which proceeds by multiphoton ionization and/or tunneling photoionization pathways depending on the laser and glass properties [22]. In addition to nonlinear photoionization, avalanche photoionization also occurs, explain- ing the small variation in threshold intensity for breakdown with bandgap [23]. Because of this low dependence of the break- down threshold on the bandgap energy, femtosecond laser nanofabrication can be applied to a wide range of glasses and other transparent materials.
For multiphoton absorption the number of photons m required to bridge the bandgap must satisfy mhm > Egap, where Egap is the bandgap and m is the laser frequency. For high laser intensity and low frequency, the strong laser field distorts the band structure and reduces the energy barrier between the valence and conduction bands, allowing for direct band-to-band tran- sitions by quantum tunneling. Nonlinear photoionization is usually a combination of both tunneling and multiphoton ion- ization for typical femtosecond laser waveguide writing conditions in glass [24]. The advantage of using femtosecond laser pulses is that it offers a deterministic breakdown, since nonlinear photoionization can seed the electron avalanche. This is in contrast to the stochastic breakdown with longer pulses which rely on the low concentration of impurities (about 1 impurity electron in conduction band per focal volume in glass), randomly distributed in the substrate to seed an electron avalanche [25]. For subpicosecond laser pulses, absorption is faster than energy coupling to the lattice, decoupling the absorption and lattice heating processes [24]. Seeded by nonlinear photoionization, the electron density in the conduction band increases via avalanche ionization until the plasma frequency approaches the laser frequency, at which point the plasma becomes strongly absorbing. For a typical femtosecond laser with 1-lm wavelength, the plasma frequency equals the laser frequency when the free carrier density is 1021 cm 3, the critical density for optical breakdown. In terms of intensity, this breakdown threshold is 1013 W/cm2 in glasses. Laser wavelength and the material bandgap together decide the number of photons required for multiphoton absorption, which causes electrons to be promoted from the valence to the conduction band. Several different types of transparent materials are available with bandgaps varying from 1.5 to 12 eV, whereas the commer- cially available lasers have photon energies between 1.1 and 2.4 eV. It was demonstrated that the variation of the breakdown threshold intensity varies only by a factor of two for the whole span of materials ranging from 3 to 12 eV using an 800-nm wavelength (1.55-eV photon energy) laser [23], indicating the importance of avalanche ionization, which depends linearly on intensity. Because of this low dependence of the breakdown threshold intensity on the bandgap energy, femtosecond laser nanoprocessing can be used in a broad range of transparent materials.
Table 2-1 Laser model, technology, pulse duration, repetition rate, average power and wavelength of commercial systems for femtosecond laser writing of optical waveguides (specifications obtained from respective company web sites, July 2016). In the table, s is the laser pulse duration, R is the repetition rate, P is the average power and k is the wavelength.
Laser model Technology s (fs) RP(W) k (nm) Spectra Physics Spitfire Ti:Sapphire reg. amp. 40 1–10 kHz 14 800 Coherent RegA 9050 Ti:Sapphire reg. amp. 40 250 kHz 1.5 800 High Q Spirit HE Yb:KYW amplifier 400 1 MHz 16 1040 Clark MXR Impulse Yb fiber ampliflier 250 25 MHz 20 1030 Menlo Yb fiber ampliflier 300 1 MHz 10 1030 BlueCut Amplitude Satsuma HP Yb fiber ampliflier 400 2 MHz 50 1030 IMRA mJewel DE2020 Yb fiber amplifier 350 1 MHz 20 1045 Light Conversion Pharos PH1-20 Yb:KGW amplifier 290 1 MHz 20 1030 Cazadero Yb or Er doped fiber 370 4 MHz 4 1030 or 1550 Calmar Laser 72 T.T. Fernandez et al. / Progress in Materials Science 94 (2018) 68–113
2.2.2. Relaxation and material modification Although it is well accepted that nonlinear photoionization and avalanche ionization are responsible for the creation of a free electron plasma, the physics are less clear when the electrons have transferred their energy to the lattice and the material is modified. In the nearly thousand published articles on optical waveguide writing citing the first work by the Miura group [3], the reported morphological changes can be generally classified into three types of modifications: a smooth refractive index change [26], a form birefringent refractive index modification [27–30] and microexplosions resulting in empty voids [31]. The type of modification depends on many exposure parameters such as energy, pulse duration, repetition rate, wavelength, polarization, focal length, and scan velocity, but also on material properties such as bandgap, thermal con- ductivity and the glass composition. In pure fused silica glass, the most commonly processed material for waveguide writing, these three different morphologies can be observed by simply changing the incident laser energy [32].
2.2.2.1. Effect of pulse energy. An isotropic regime of modification is useful for optical waveguides, where smooth and uniform refractive index modification is required for low propagation loss. At low pulse energies just above the modification thresh- old ( 100 nJ for typical femtosecond laser focusing conditions [19]), a smooth refractive index modification has been observed in fused silica [32], which Krol’s group has attributed to densification from rapid quenching of the melted glass in the focal volume [33]. In fused silica, the density and hence refractive index increases when glass is quickly cooled from a higher temperature [34]. Micro-Raman spectroscopy experimentally confirmed an increase in the concentration of 3 and 4 member rings in the silica network in the laser exposed region, signaling a densification of the glass [32]. Shock waves generated by focused fs laser pulses giving rise to stress have been shown to play a role in driving densifi- cation under certain conditions [35]. A small contribution to morphological changes produced by a focused femtosecond laser may be due to color centers, which alter the absorption spectra and hence the refractive index due to the Kramers- Kronig relation [36]. Waveguides formed in fused silica [37] were found to exhibit photo-induced absorption peaks at 213 nm and 260 nm that correspond to positively charged oxygen vacancies and non-bridging oxygen hole centers defects, respectively. However, the color centers were completely erased after annealing at 400 °C, even though waveguide behavior was observed up to an annealing temperature of 900 °C. It is therefore unlikely that color centers played a significant role in the refractive index change. Other research in borosilicate glasses has supported this claim [38]. In Yb-doped-phosphate glasses, Withford’s group has shown that laser induced color centers contribute about 15% to the observed refractive index increase [39]. In glasses with structures that are more complex than fused silica, one must also consider the ion exchange between network formers and network modifiers [40,41]. Such observations by the Miura and Solis groups give a new parameter for optimizing the glass composition to improve laser-written waveguide structures, and is the motivation for this Review. For pulse energies higher than those suitable for waveguide writing ( 150 to 500 nJ for typical femtosecond laser focus- ing conditions), birefringent refractive index changes have been observed in fused silica [28] and borosilicate glasses [42]. Kazansky’s group suggested that the birefringence was due to periodic nanostructures caused by interference of the laser field and the induced electron plasma wave [29]. These nanogratings develop after multiple laser pulses [27] and are always oriented perpendicularly to the laser polarization [43] as shown in Fig. 2-1. Their structural properties can be controlled with the laser processing parameters, allowing for precise tuning of their birefringent properties [44]. However, the mechanisms responsible for the self-organization of nanogratings are not yet fully understood. In 2008, Taylor’s group discovered that nanogratings consist of self-aligned nanocracks [45]. They proposed that inhomogeneous dielectric breakdown results in the formation of a nanoplasma resulting in the growth and self-organization of nanoplanes [30]. The model was found to accurately predict the experimentally measured nanograting period for a certain range of experimental conditions in fused silica. The Nolte group recently published an important review paper, giving futher experimental insight into the formation nanogratings [27]. They applied non-destructive small angle X-ray scattering and found that the characteristic size of the smallest features were nanocavities of dimensions 30 200 300 nm3. The dimensions of these nanocavities were indepen- dent of exposure parameters, whereas exposure to multiple laser pulses led to an increase in their total number. They then applied focused ion beam milling to dissect a portion of the sample and found that hollow cavities are the primary constituents of nanogratings and that their sheet-like arrangement gives rise to their periodicity. The large index contrast between the cavities and the surrounding material was found to be the cause of the high bire- fringence [46] despite the small feature size. Continuous grating planes emerge as adjacent cavities link due to their close proximity, whereas the material in between remains devoid of pores and is therefore more resilient. The presence of hollow cavities facilitates the anisotropic etch rate of HF acid parallel and perpendicular to the laser polarization [43]. This effect can be exploited to fabricate buried microchannels for microfluidic applications (Fig. 2-1(c)). These nanogratings are not usually suitable for waveguide devices as birefringence is often seen as a detriment. However there are optical applications where nanogratings are useful such as rewritable optical memory [43], birefringent waveplates [47] and integrated polarization beam splitters [48]. Nolte’s group [42] applied a tunable pulse duration femtosecond laser to study nanograting formation in Corning ultra- low expansion (ULE) TiO2-doped silicate glass and Schott Borofloat 33 borosilicate glass. The birefringence of nanogratings in ULE is comparable to those in fused silica, while the nanostructures in borosilicate glass show much lower birefringence. Interestingly, the period of the nanogratings is also dependent on the type of the glass, being 250 nm for ULE (similar to fused silica) but only 60 nm in case of Borofloat 33. As the properties of nanogratings in ULE and borosilicate differ significantly T.T. Fernandez et al. / Progress in Materials Science 94 (2018) 68–113 73
Fig. 2-1. Scanning electron microscope image of buried nanogratings (sample cleaved and polished at writing depth) with polarization parallel (a) and perpendicular (b) to the scan direction. Overhead view (c) of etched microchannels demonstrating polarization selective etching with parallel (top), 45° (middle) and perpendicular (bottom) linear polarizations [45]. from those in fused silica, a more general model of nanograting formation must account for this differing behavior amongst glasses. At even higher pulse energies (>500 nJ for typical femtosecond laser focusing conditions), pressures greater than Young’s modulus are generated in the focal volume, creating a shockwave after the electrons have coupled their energy to the ions ( 10 ps) [32]. The shockwave leaves behind a less dense or even hollow core, depending on the laser and material properties [49]. By conservation of mass, this core is surrounded by a shell of higher refractive index. Such voids may be exploited for 3D memory storage [50] or photonic bandgap materials [51].
2.2.2.2. Effect of repetition rate. The above interpretations for the structural changes induced by focused femtosecond lasers typically assumed single pulse interactions, but can likely be extended to explain the modification from multipulse interac- tions during waveguide writing, assuming the repetition rate is low enough that thermal diffusion has carried the heat away from the focus before the next pulse arrives [32]. In this case, the following pulses may add to the overall modification, but still act independently of one another. For high repetition rates (>100 kHz), the time between laser pulses is less than the time for heat to diffuse away, giving rise to a buildup of temperature in the focal volume. For sufficiently high pulse energy, the glass near the focus is melted and as more laser pulses are absorbed, this melted volume continues to expand until the laser is removed, and due to rapid cool- ing and ion migration, produces a region of altered refractive index. The reader is referred to Section 3 for a more detailed discussion of the heat accumulation effect and corresponding elemental redistribution when processing glasses with high repetition rate femtosecond laser pulses.
2.2.2.3. Linear propagation. Neglecting spherical aberration [52] and nonlinear effects [53], the spatial intensity profile of a focused femtosecond laser beam can be well represented by the paraxial wave equation and Gaussian optics. The 2 diffraction-limited minimum waist radius w0 (1/e intensity radius) for a collimated Gaussian beam focused inside a trans- parent material is:
M2k w ¼ ð2-1Þ 0 pNA where M2 is the Gaussian beam propagation factor [54], NA is the numerical aperture of the focusing objective and k is the free space wavelength. The Rayleigh range z0 inside a dielectric of refractive index n is given by:
M2nk z ¼ ð2-2Þ 0 pNA Chromatic and spherical aberration alter the intensity distribution near the focus so that Eqs. (2-1) and (2-2) are no longer valid. Chromatic aberration as the result of dispersion in the lens can be corrected by using chromatic aberration-corrected microscope objectives for the wavelength spectrum of interest. For lenses made with easily-formed spherical shapes, light rays that are parallel to the optic axis but at different distances from the optic axis do not converge to the same point, result- 74 T.T. Fernandez et al. / Progress in Materials Science 94 (2018) 68–113 ing in spherical aberration. This can be addressed by using multiple lenses such as those found in microscope objectives or using an aspheric focusing lens. In waveguide writing, the index mismatch at the air-dielectric interface introduces addi- tional spherical aberration. As a result, there is a strong depth dependence for femtosecond-laser written buried structures [52,55], which is even more pronounced for higher NA objectives [24] except for oil-immersion lenses [56] or dry objectives with collars that can correct for spherical aberration at different focusing depths [52]. Dispersion from mirror reflection and transmission through materials can broaden the pulse width which can reduce the peak intensity and alter the energy dissipation at the focus. However, it is only for short pulse <40-fs oscillators with large bandwidths that dispersion becomes an issue. In this case, precompensation of the dispersion through the microscope objec- tive is required to obtain the shortest pulse at the focus [57].
2.2.2.4. Nonlinear propagation. The spatially varying intensity of a Gaussian laser beam can create a spatially varying refrac- tive index in glasses. As the nonlinear refractive index n2 is positive in glasses, the refractive index is higher at the center of the beam compared to the wings. This variation in refractive index creates a positive lens which focuses the beam inside a dielectric with a strength dependent on the peak power. If the peak power of the femtosecond laser pulses exceeds the crit- ical power for self-focusing [24]:
3:77k2 Pc ¼ ð2-3Þ 8pn0n2 a collapse of the pulse to a focal point is predicted. However, as the beam self focuses, the increased intensity drives non- linear ionization which creates a free electron plasma, which acts as a diverging lens that counters self-focusing. A balance between self-focusing and plasma defocusing leads to filamentary propagation, which results in vertically elongated refrac- tive index structures, which are undesirable for transversely written waveguide structures, the standard geometry for waveguide fabrication. Filaments can be exploited to fabricate waveguide devices by scanning the sample vertically along the beam axis. Self-focusing can be avoided in waveguide fabrication by tightly focusing the laser beam with a microscope objective to reach the intensity for optical breakdown without exceeding the critical power. 20 2 In fused silica, n0 = 1.45 and n2 = 3.5 10 m /W [58] so that for k = 1030 nm, the critical power is 3 MW. From Eq. (2-3), the critical power is proportional to the wavelength squared, therefore, lower critical powers result when working with the second harmonic of femtosecond lasers. Also, the critical power is inversely related to the nonlinear (and linear) 18 2 refractive index, making it difficult to form waveguides in heavy metal oxide glasses with n0 2, n2 10 m /W [59] 17 2 and chalcogenide glasses with n0 2.5, n2 10 m /W [60].
2.3. Dielectric materials used for fabrication
To date, a wide variety of materials has been used for femtosecond laser microfabrication, including glasses [23], crystals [61], ceramics [62], and polymers [63,64]. However, the focus of most studies has been on glasses and crystals, mainly because of their wide applications forming the backbone of photonic devices. Even though there is a large inventory of glasses that are of potential interest for photonic devices such as fused silica, silicates, germanates, phosphates, tellurites, borates, ZBLAN and chalcogenides [65–73], fused silica is generally favored for passive applications due to its high transparency from the deep UV to NIR and its excellent thermal, chemical and mechanical stability. For active photonic devices, there was a surge of femtosecond laser written waveguides in silicate, phosphate, germanate and tellurite glasses doped with rare-earth ions such as Nd3+,Yb3+,Er3+,Tm3+ and Ho3+ [1,74]. Among crystalline materials studied are lithium niobate, Ti:Sapphire, YAG and KGW crystals [75–78] due to the possibility of com- bining their nonlinear properties in a highly integrated platform enabled by femtosecond laser inscription. Other than the in-house fabricated glasses, various commercial glasses used in the discussion for this review paper are Corning eagle 2000 [79] (Section 3) Corning 0211 Borosilicate (Sections 3.1 and 3.1.1) [80], Schott B270 Superwrite crown (Sections 3.2.2.1,3.2.3,6.4 and 6.5) [81], Schott AF37 alumino borosilicate (Section 6.3) [82], Schott D263 borosilicate (Section 3.2.2.2) [83], Schott B33 borofloat (Section 3.2.2.3) [84], Schott Foturan II (Section 3.3, Fig. 3-14) [85], Matsunami glass S1111 crown (Section 3.4, Fig. 3-15) [86], Kigre QX and MM2 phosphate (Section 4.1.1,4.1.3 and 4.2) [87] and Schott IOG-1 phosphate (Section 4.1.1) [88].
2.4. Characterization techniques
Investigating the laser affected zone using various material characterization techniques will reveal valuable information regarding the glass structure, co-ordination of bonds and possible migration of ions/atoms. Ion migration is a relatively new information providing deeper insights which aids in tuning the laser-induced morphology in glasses (discussed in Sections 3.4–6.5). The main characterization technique to analyze the ion migration process during bulk femtosecond laser microfab- rication relies mainly on electron microscopy [89] which reveals the elemental profile or its distribution. Micro-Raman (l-Raman), micro-photoluminescence (m-PL) spectroscopies and refracted near field profilometry are valuable supplemen- tary characterization techniques deducing valuable information about atomic and molecular networks. In scanning electron microscopy (SEM), a Z-contrast study can be done by using backscattered electrons (BSE) from the sample, or a more precise T.T. Fernandez et al. / Progress in Materials Science 94 (2018) 68–113 75 compositional analysis by means of wavelength dispersive spectroscopy (WDS) or energy dispersive X-ray spectroscopy (EDX). In the case of WDS, high spectral resolution and high throughput enable count rates greater than 105/s but EDX is faster and simpler to implement. EDS is the most commonly used technique for qualitative elemental analysis to demon- strate which elements are present and their relative abundance. When the sample is bombarded with a focused beam of electrons, spectral lines of X-rays are emitted due to the transition of electrons between pairs of K, L, M and N shells of the atom between two high and low energy levels. It is quite easy to qualitatively identify elements having atomic number greater than 10 with this technique. The photon counting of X-ray intensitites can provide a precision that is limited by sta- tistical error. For major elements a precision of 2r is possible but due to the uncertainties in the compositions of the stan- dards and errors in the various corrections which need to be applied to the raw data, overall analytical accuracy is near ±2%. The precision can be improved by using longer counting times. Spatial resolution is governed by the penetration and spread- ing of the electron beam in the specimen, hence the spatial resolution for low atomic number ranges between 1 and 5 lm3 and for higher atomic numbers this could be improved to 0.2–1 lm3. Since the electrons penetrate an approximately con- stant mass, spatial resolution is a function of density. The size of the interaction volume could also be increased by increasing the accelerating voltage. WDS uses the Bragg diffraction principle of an analyzing crystal to preferentially diffract the wavelength of interest to the detector. WDS is a non-destructive quantitative analyses with only a few micrometer spot sizes, at detection levels as low as a few tens of parts per million weight (ppmw), and for light elements down to atomic number 5 (boron). In this technique a beam of electrons, typically 15–20 kV, is accelerated in an evacuated electron column of a SEM to the sample surface to gen- erate characteristic X-rays for the elements to be analyzed. It is then selectively identified using an analytical crystal with specific lattice spacings. When X-rays reach the crystal at a specific angle only those X-rays that satisfy Bragg’s law are reflected and a single wavelength is passed through to the detector. The X-ray source-crystal distance is a linear function of the wavelength. Hence only one element could be measured at a time unlike in EDS. When compared to EDS, WDS exhibits superior peak resolution of elements and sensitivity of trace elements. SEM techniques are not as destructive as transmission electron microscopy (TEM), with sample preparation typically con- sisting of metallization to avoid charging or heating effects. Analysing a femtosecond laser irradiated zone in SEM could reveal a densification or a rarefied zone by direct visualization of the heavy atom segregation or the Z-contrast, Z, being the atomic weight. The contrast arises from the enrichment or the depletion of heavy elements with respect to the un- irradiated/pristine sample. One difficulty in the analysis is distinguishing between a change in the local valence state of glass constituents and ion migration. The X-ray microanalysis system used for compositional analysis in the SEM has a resolution of about 125 eV, which enables identification of the different elements present in the sample, but not their oxidation states that require a resolution of 1 eV. The system integrates the number of counts associated to the characteristic emission of a given element, yielding only local compositional variations. Additionally, if the prevalent local valence of multi-valence impurities is changed upon solidification, then the glass network shows a larger distribution of bonding characteristics that could be easily distinguished using supplementary characterizations like l-PL and l-Raman. Employing a TEM can increase the resolution by one order of magnitude but at the cost of destroying the sample [90]. The elemental analysis in TEM has a larger range, including WDS, EDX, high angle annular dark field (HAADF) imaging or electron energy loss spectroscopy (EELS). The advantage of EELS over WDS or EDX is that it is more sensitive to light elements and the energy resolution is higher, thus extracting more data such as chemical bonding or valence states. To date, there are only a few reports in which TEM was being used to probe laser written waveguides. In one notable paper, Gorelik et al. applied TEM to characterize a very thin slice of a micrometer-sized waveguide fabricated in crystalline quartz [91]. Both static single pulse exposures and scanned line structures revealed an amorphous core surrounded by a disturbed crystalline structure. TEM was also applied by Juodkazis et al. to observe a transformation of crystalline to amorphous sapphire [92]. Cao et al. [93,94] also used TEM to study the crystallization within the laser irradiated region which is discussed in Section 4.1.
3. Basic principle of heat accumulation and ion migration by fs laser irradiation
High repetition rate femtosecond laser irradiation [4–6,95] causes localized melting of glasses resulting in ion migration [41,72,96–108]. Because the shape of the molten region and distributions of ions are influenced by the heat accumulation, the temperature distribution is essential information to elucidate the underlying physics and to control the ion migration. Evidence of heat accumulation during bulk femtosecond laser irradiation of glasses was first reported by Schaffer et al. [95]. During high repetition rate (25 MHz) femtosecond laser irradiation of zinc-doped borosilicate glass (Corning 0211), they found that the modification size increased with the number of laser pulses (Fig. 3-1(a)). They explained the pulse- number dependence of the modification volume was due to an accumulation of heat from consecutive laser pulses, and suc- cessfully predicted the modification size using a simple thermal diffusion model (Fig. 3-1(b)) [6]. Later, Eaton et al. investi- gated the effect of heat accumulation by femtosecond laser irradiation at different repetition rates (0.1–5 MHz), and accurately predicted the modification volume from the simulated temperature increase due to heat accumulation (Fig. 3- 2(a)) [4]. They found that heat accumulation becomes pronounced inside an alkali-free borosilicate glass above 200 kHz rep- etition rate (Fig. 3-2(b)), when the time between pulses is shorter than the time for heat to diffuse out of the focal volume. In a later work [5], they clarified that the laser pulse energy, which controls the strength of thermal diffusion from individual laser pulses, is also crucial in driving heat accumulation. 76 T.T. Fernandez et al. / Progress in Materials Science 94 (2018) 68–113
Fig. 3-1. (a) Optical microscope image of modifications inside a zinc-doped borosilicate glass (Corning 0211) by irradiation with 30 fs laser pulses of 5 nJ at 25 MHz, focused with a 1.4NA objective. The modifications became larger as the number of laser pulses increased from 102 to 105. (b) Plot of the radius of the modifications against the number of laser pulses. The curve is the radius calculated by a thermal diffusion model.
The modification by heat accumulation, which we will refer to as ‘‘thermal modification” in this Review, produces nearly spherical modifications with two clear boundaries as shown in Fig. 3-2(a). Inside the inner boundary (darker region of the modification by 1 MHz irradiation in Fig. 3-2(a)), the flow of glass melt can be observed during laser irradiation [104–106,108]. This is the region where ion migration occurs [41,96–101,103,107]. In the region between the inner and outermost boundaries (outer modified region), changes of elemental distributions and glass structures have not been observed. The mechanism in forming the outer modified regions is not completely understood. Several researchers have made the assumption that there is a threshold temperature of the outermost boundary and defined the threshold temper- ature hypothetically to determine the temperature distribution during heat accumulation [5,6]. Fig. 3-2(b) plots the temper- ature versus pulse shot number at different repetition rates, as simulated by a thermal diffusion equation [4]. The dotted black line at 1225 °C is the working point, which was used to estimate the melting threshold of the borosilicate glass. At 100 kHz repetition rate, the temperature drops below the melting threshold before the next pulse arrives and therefore the modified volume is defined by single pulse thermal diffusion alone. However at high repetition rates, where there is less time between successive pulses, the temperature remains above this melting threshold. Therefore as more pulses are absorbed, the temperature and size of the modification increases. Because the ion migration is influenced by heat accumulation during high repetition rate (HRR) femtosecond laser irradiation, the important information for understanding the mechanism of ion migrations are (i) the time scale of thermal diffusion inside glass after a single photoexcitation, (ii) the theoretical and experimental estimation of the temperature dis- tribution during heat accumulation, (iii) the mechanism of thermal modification and the threshold temperature at which thermal modification occurs, and (iv) the tendency of ion migration and the driving force of ion migration. In this section, the fundamental studies of heat accumulation and ion migration by HRR femtosecond laser irradiation are reviewed. First, several observation reports of the temperature distribution during single femtosecond laser irradiation will
Fig. 3-2. (a) Optical microscope image of modifications from static femtosecond laser exposures in a borosilicate for different pulse number and repetition rates (focusing lens 0.65NA, pulse energy 450 nJ). (b) The plots of the temperature against pulse shot number at different repetition rates, which were simulated by a thermal diffusion equation. The dotted black line is the working point of the glass which was used to estimate the melting threshold. T.T. Fernandez et al. / Progress in Materials Science 94 (2018) 68–113 77 be reviewed [109–113]. These studies elucidated the temperature elevation and cooling rate after the photoexcitation, which will help us in studying the heat accumulation from a train of femtosecond laser pulses. Next, the simplest method [114– 119] for the simulation of the temperature distribution during heat accumulation will be discussed. Finally, the general ten- dency of the ion migration will be reviewed and one simulation study of ion migration based on a thermo-diffusion model will be discussed.
3.1. Observation of thermal diffusion after single fs laser irradiation inside a glass
After a femtosecond laser pulse is focused inside glass, excitation of electrons occurs by multiphoton or tunneling ioniza- tion and subsequent avalanche ionization [95,120,121]. The energy of excited electrons (plasma) is transferred to the lattice in the electron-phonon collision time, which is as fast as several picoseconds [122–124]. Due to the fast energy transfer from hot electrons to the lattice, the temperature in the photoexcited region is elevated much faster than the elastic relaxation time of the glass. As a result, large thermal stress is generated in the photoexcited region just after the photoexcitation, and the relaxation of thermal stress generates a strong stress wave [122–126]. After the stress wave propagates far away from the photoexcited region, the temperature in the photoexcited region decreases by thermal diffusion over a much a longer time scale. The stress relaxation time (tac) and thermal diffusion time (tth) can be determined from the speed of sound (cs), thermal diffusion coefficient (Dth), and the smallest dimension of the photoexcited region (dh) [127]:
dh tac ¼ ð3-1Þ cs
2 dh tth ¼ ð3-2Þ 4Dth 3 Using typical values for femtosecond laser bulk processing inside glass with a high NA objective, cs =5 10 m/s, Dth = 7 2 1 6 5 10 m s [128] and dh =10 m (the laser spot size), tac = 200 ps and tth = 0.5 ls are obtained. Therefore, in considering the heat accumulation by HRR femtosecond laser irradiation, the stress relaxation in the photoexcited region is so fast that only the effect of thermal diffusion is taken into consideration. To experimentally observe thermal diffusion inside glass due to photoexcitation from femtosecond laser irradiation, the transient lens method and l-Raman spectroscopy have been applied. Below we provide an overview of these two methods.
3.1.1. Observation of thermal diffusion by a transient lens (TrL) method The thermal lens (TL) method [129,130] is used to observe the temperature change due to photoexcitation. The similar transient lens (TrL) method provides even further information on the refractive index dynamics including changes in density, temperature and chemistry [129,130]. In both the TL and TrL method, the lens effect due to the refractive index modification in the photoexcited volume is detected as the intensity pattern change of the transmitted probe beam. In many cases, a TrL signal is detected as the transmission through a pinhole as shown in Fig. 3-3(a) [111]. Because the probe beam on the pinhole is expanded or contracted by the transient lens, the change of the transmittance through the pinhole reflects the transient lens effect. Because the TrL comes from the thermal expansion and molecular polarizability change due to the temperature change in the photoexcited volume, the temperature change can be estimated by detecting the TrL signal. In addition, the thermal diffusion, i.e. cooling of photoexcited glass, can be measured from the decay of the TrL signal. Sakakura et al. applied the TrL method to the observation of the temperature change inside glass after photoexcitation by a focused femtosecond laser pulse [109,111]. The optical setup for TrL measurement in their study is shown in Fig. 3-3(b). A femtosecond laser pulse was focused inside glass with a 20 objective lens to induce nonlinear photoexcitation in the focal volume. At the same time, a CW probe beam was passed through the photoexcited region. When the probe beam transmits through the photoexcited region, the phase distribution of the probe beam is modified by the refractive index distribution, which is originated from photoinduced carriers, stress and temperature changes around the photoexcited region. The mod- ified phase distribution results in the intensity distribution change of the probe beam at the far field. In the method, the intensity distribution change was monitored by detecting the probe beam after a pinhole with a diameter of 1 mm using a photomultiplier. The temporal change of the intensity was acquired by a digital oscilloscope as a ‘‘TrL signal”. The observed TrL signals after photoexcitation in a zinc-borosilicate glass is shown in Fig. 3-3(c). The TrL signal rose in several hundred nanoseconds and decayed in several microseconds. The amplitude of the rise and the peak intensity of the TrL signal increased with increasing excitation pulse energy. The rise and decay components in the TrL signals can be explained only by the thermal diffusion. The authors simulated the TrL signal based on the thermal diffusion model and com- pared them with the observed signals. They assumed that the initial temperature distribution can be expressed by [109]: "# r 2 z 2 DTðt ¼ 0; r; zÞ¼DT0 exp ; ð3-3Þ wth=2 lz where r is the radial coordinate, z is the axial position, DT0 is the initial temperature change at the peak, wth is the width of the heated region, and lz is the length of the heated region. This initial temperature distribution gives the following equation of the temporal evolution of the temperature distribution by solving the thermal diffusion equation [109]: 78 T.T. Fernandez et al. / Progress in Materials Science 94 (2018) 68–113
Fig. 3-3. (a) Principle of the measurement of a TrL signal. (b) Optical setup for TrL measurement of tightly focused fs laser-induced dynamics inside a glass. (c) TrL signals observed inside a zinc-doped borosilicate glass after irradiation with a 220 fs laser pulse focused with a 0.45NA objective. (d) TrL signals simulated by diffraction theory and Eq. (3-5) with different D/th (maximum phase change due to the change in temperature). (e) Fitting of the observed TrL signals by those simulated by Eq. (3-5) with a best fit D/th. (f) The temperature change at different positions from the center of the photoexcited region obtained by the fitting of the TrL signals in (e).
!"# 1=2 ðw =2Þ2 l2 r2 z2 DTðt; r; zÞ¼DT th z exp : ð3-4Þ 0 = 2 2 = 2 2 ðwth 2Þ þ 4Dtht lz þ 4Dtht ðwth 2Þ þ 4Dtht lz þ 4Dtht where t is the time after the photoexcitation and Dth is the thermal diffusivity. TrL signals come from the modification of the phase distribution of the probe beam after passing through the photoex- cited region. Therefore, to simulate TrL singals due to thermal diffusion, the modification of the phase distribution should be derived using the temperature change of Eq. (3-4). If it is assumed that the refractive index change is proportional to tem- perature change, the modification of the phase distribution of the probe beam after passing through the heated region was calculated by integrating Eq. (3-3) along the beam propagation direction, z: "# = 2 2 ; ðwth 2Þ r D/ðt rÞ¼D/th 2 exp 2 ð3-5Þ ðwth=2Þ þ 4Dtht ðwth=2Þ þ 4Dtht where D/th is the phase change at the beam center, which is given by 3=2 2p dn : D/th ¼ DT0lz ð3-6Þ n0k dT The intensity distribution of the probe beam at the far field can be calculated by substituting Eq. (3-5) into the Fresnel diffraction equation [131]. Because the TrL signal is the light intensity through the pinhole (Fig. 3-3(a)), the TrL signal inten- sity can be obtained by calculating the intensity at the central part of the probe beam.
Fig. 3-3(d) shows the TrL signals simulated using Eq. (3-5) with different D/th and wth = 2.0 mm. As can be seen, the TrL signals simulated with D/th = 6.0, 4.0 and 2.0 reproduced the TrL signals for pulse energies of 0.8, 0.6 and 0.4 mJ, respectively. The initial temperature change just after the photoexcitation, DT0, can be estimated by fitting experimental TrL signals as shown in Fig. 3-3(e). The TrL signals observed at various conditions could be reproduced by D/th = 5.8, wth = 1.7 mm and 2 6 1 Dth = 0.75 mm /ls. Assuming that lz =50lm and using n0 = 1.5 and dn/dT = 3.4 10 K for borosilicate glass, the temper- ature elevation was estimated to be DT0 = 1790 K. The temperature evolution inside glass using this estimated value is shown in Fig. 3-3(f). The temperature decays monotonically for r < wth, while the temperature for r > wth is elevated tran- siently and then decays. T.T. Fernandez et al. / Progress in Materials Science 94 (2018) 68–113 79
The important finding from the TrL measurement is that the thermal diffusion can be calculated approximately by the thermal diffusion model using the room temperate thermal diffusion coefficient. Because the TrL measurement showed that the temperature decreased below 50 °Cat10ls and reached the room temperature at 100 ls, the TrL measurement means that repetition rates greater than 100 kHz are necessary for heat accumulation.
3.1.2. Observation of thermal diffusion by micro Raman measurement Another method to observe the temperature distribution change is a measurement of temperature-dependent Raman spectrum by a confocal Raman microscope [112]. Because the intensity of the anti-Stokes band in the Raman spectrum depends on the population of excited vibrational states, the ratio between the intensities of Stokes and anti-Stokes bands can be used to measure the temperature. If the material is in thermal equilibrium, the ratio can be expressed in terms of the Boltzmann distribution [132]: I hm AS ¼ exp R ð3-7Þ IS kBT where IS and IAS are the intensities of the Stokes and anti-Stokes Raman bands, respectively at the frequency mR. This equation means that the intensity of an anti-Stokes band becomes larger relative to that of the Stokes band as the temperature increases, as shown in Fig. 3-4(a). Because the Raman frequency, mR, is known from the Raman spectra, the temperature T can be obtained from the observed intensity ratio. Yoshino et al. observed the time-resolved Raman spectra from the photoexcited region inside a glass after femtosecond laser irradiation and obtained the temporal evolution of the temperature by analyzing the intensity ratio given by Eq. (3-7) [112,113]. The optical setup for the time-resolved Raman temperature measurement in a glass after fs laser irradiation is shown in Fig. 3-4(b). A femtosecond laser pulse was focused inside a glass sample (B33 glass or silica glass) with an objective lens to induce nonlinear photoexcitation at the focus. A Raman excitation pulse from the frequency doubled Nd:YAG nanosecond laser (532 nm) was input into the same optical path as the fs laser pulse and focused at the photoexcited region to induce Raman scattering. The Raman scattering was collected by the same objective lens and detected by a gated ICCD after passing through a pinhole and polychrometer. The time of the observation was changed by controlling the trigger pulse to the YAG laser for Raman excitation by a pulse delay generator. The temporal evolution of the temperature in the photoexcited region from the analysis of the observed Raman spectra is shown in Fig. 3-4(c) and (d). Both in fused silica and B33 glasses, the cooling times were from 0.1 lsto10ls and the initial temperature increases were higher than 1000 K, consistent with TrL measurements [109,111]. Interestingly, the pulse energy-dependence of the temperature increase and cooling time were different between fused silica and B33 glasses (Fig. 3-4(e) and (f)). As shown in Fig. 3-4(e), the initial temperature increase became larger with increasing pulse energy in a fused silica, while the pulse energy dependence of the temperature was much smaller in B33 glass. The authors argued that the difference could be from the varied laser-induced morphologies in fused silica and B33 glass (Fig. 3-4(g)); void struc- tures were formed in a fused silica, while filamentary material modification occurred in B33 glass. The filamentation of the photoexcited region affects the cooling time, because the longitudinal length of the photoexcited region (lz in Eq. (3-3))is included in the diffusion term in the equation governing thermal diffusion (Eq. (3-3)). The pulse energy-dependence of the time constants in B33 glass suggests that lz becomes larger with increasing pulse energy and larger lz makes the cooling time longer.
Fig. 3-4. (a) Schematic illustration of the Raman spectra change due to the temperature increase. The black and red lines are Raman spectra before and after temperature increase, respectively. (b) Optical setup for a spatial-temporal-resolved Raman measurement. (c),(d) Temporal evolutions of the temperatures obtained from the Raman spectra observed in fused silica and B33 glass after fs laser irradiation, respectively. (e), (f) The initial temperature increases and time constants plotted against pulse energies analyzed by the temperature changes in (c) and (d). (g) Femtosecond laser induced modifications along the beam propagation direction in two glasses. 80 T.T. Fernandez et al. / Progress in Materials Science 94 (2018) 68–113
3.2. Heat accumulation with a high repetition rate laser
The typical femtosecond laser-induced modifications inside a glass with and without heat accumulation are shown in Fig. 3-5(a) and (b) [115]. In the case of 1 kHz irradiation, the modification is as small as the diameter of the laser focal spot (Fig. 3-5(a)). On the other hand, the modification at 250 kHz is much larger than that at 1 kHz (Fig. 3-5(b)). The simulated temperature change at 250 kHz clearly shows the accumulation of thermal energy (Fig. 3-5(c)), so the larger modification is attributed to a thermal modification induced by the heat accumulation. As discussed before, the thermal modifications inside most glasses have two boundaries, with the inner region due to the flow of the glass melt [108,130]. In this region, both a change in the elemental distribution (i.e. ion migration) and the precipitation of crystal have been observed. On the other hand, there is no change in elemental distributions between the inner and outermost boundaries, although a refractive index change is observed in this region. In this section, we review the method to simulate the temperature distribution during HRR laser irradiation.
3.2.1. Simulation of heat accumulation Here, we explain the simplest method of the simulating heat accumulation. The temporal evolution of the temperature distribution during repeated laser irradiation can be calculated by the equation of thermal diffusion with a time-dependent heat source [115]: @Tðt; x; y; zÞ 1 @Qðt; x; y; zÞ ¼ r½DthrTðt; x; y; zÞ þ ð3-8Þ @t qCp @t where T(t,x,y,z) and Q(t,x,y,z) are the time-dependent temperature and heat source by repeated laser irradiation, respec- tively. Dth, q and Cp are the thermal diffusivity, density and heat capacity of the material, respectively. When the repetition rate of laser irradiation is R =1/tL, the time-dependent heat source can be written as: "# XN 1 @Qðt; rÞ r2 z2 ¼ Q dðt nt Þ exp ð3-9Þ @t 0 L = 2 = 2 n¼0 ðwth 2Þ ðlz 2Þ where we assumed that the distribution of the thermal energy by a single laser irradiation is given by Eq. (3-4), and Q0 is the density of the thermal energy at the center of the photoexcitation and N is the number of pulses. In this equation, the gen- eration of the thermal energy is expressed as a delta function, because the temperature increase occurs much faster (<10 ps) than that of the thermal diffusion (>10 ns). Because the differential equation of the thermal diffusion equation (Eq. (3-8))is linear if Dth is constant, the temperature distribution after the Nth pulse can be calculated from the sum of the temperature change after each pulse:
XN 1 Tðt; x; y; zÞ¼ DTðt nDtL; x; y; zÞþTa ð3-10Þ n¼0
2 2 0.5 where DT(t,x,y,z) is the same as DT(t,r,z) in Eq. (3-3), r =(x + y ) and Ta is the ambient temperature. Fig. 3-6(a) shows the temporal evolution of the temperature at various positions during 250 kHz laser irradiation calcu- lated by Eq. (3-10). In this calculation, the temperature change at the center by a single laser irradiation is DT0 = 1000 K. The temperature at the center of the photoexcited region rises and decays repeatedly at every pulse. This drastic temperature
Fig. 3-5. (a), (b) Optical microscope images of modifications inside a sodalime glass by irradiation with focused 100 fs laser pulses at 1 kHz (a) and 250 kHz (b). Two boundaries are observed in (b). Within the inner boundary, glass was melted during laser irradiation and ion migration occurred. In the outer region, no melting and ion migration occurred. (c) Simulation of temperature change during laser irradiation at 1 kHz (red dotted line) and 250 kHz (black solid line). T.T. Fernandez et al. / Progress in Materials Science 94 (2018) 68–113 81
Fig. 3-6. (a) Temperature change at different radial positions from the laser focus simulated using Eq. (3-10). The parameters are DtL =4ls, Ta =20°C, DT0 2 1 = 1000 K, wth = 1.1 lm, lz = 9.0 lm, and Dth = 0.46 lm ls . (b) Temperature changes at different z positions simulated by an equation with more a complex distribution of the heat source. The repetition rate is 300 kHz. (c) Simulated temperature distributions along the scanning axis during laser irradiation at 500 kHz for 100 mm/s writing speed. oscillation at each photoexcitation become less evident further from the center. The temperature for r >10mm became almost constant after 10 ms (2500 pulses). This temperature profile with time follows a similar trend as slightly more complex models proposed by other research- ers [3,116,118,119]. For example, Miyamoto et al. simulated the temperature change during heat accumulation by solving the thermal diffusion equation with a heat source with a more a complex distribution [118]. Also in this case, the temper- ature oscillation became smaller further away from the center (Fig. 3-6(b)). Therefore, the simplified numerical calculation in Eq. (3-10) provides a reasonable estimation of the heat accumulation. To simulate the heat accumulation in many applications of femtosecond laser processing, the movement of the heat source must be taken into account. In this case, the equation for the simulation of the heat accumulation, Eq. (3-10), must be modified to include the sample translation [116–118]. Fig. 3-6(c) shows the simulated temperature distributions along the scanning axis inside a glass during laser irradiation and scanning at 100 mm/s. This simulation shows that the temper- ature distribution becomes asymmetric in the transverse y direction at a fast scanning speed [117]. The simulation of the temperature distribution at different scanning velocity gives us valuable information for understanding the fs laser- induced crystallization inside a glass [133], because the heating and cooling rates, which are determined by the asymmetric temperature distribution in Fig. 3-6(c), are important for the seeding and growing of crystals in the heated region.
3.2.2. Evaluation of the temperature distribution during high repetition rate laser irradiation Several researchers have evaluated the temperature distributions inside glass during HRR femtosecond laser irradiation [114–119,134]. Some of the approaches are based on the comparison between the shape of the thermal modification and the simulated temperature distributions. Shimizu et al. investigated how the radius of the thermal modification depends on the ambient temperature and obtained the temperature distribution by analyzing the relation between the radius and ambient temperature [117]. Miyamoto et al. compared the isothermal lines in the simulated temperature distribution with the boundaries of the thermal modifications [117,118]. On the other hand, some researchers investigated the temperature distribution more directly by a measurement of Raman spectra during laser irradiation. Their methods for the simulation of temperature distributions are essentially the same as those described in Section 3.1.2. The temperature distributions evaluated by these researchers are different in several ways. Firstly, different definitions were used for the threshold temperature (Tout) at which the outermost boundary of the thermal modification is formed. Shimizu et al. proposed that Tout depends on the laser exposure time and is equivalent to the glass transition temperature at 1 s exposure time [114,115]. On the other hand, Miyamoto et al. assumed that Tout should be higher than the glass forming temperature based on the observation of laser welding of glasses [116,118]. Because the threshold temperature is important for determining the temperature distribution and evaluation of the light absorptivity during HRR laser irradiation, this tem- perature must be accurately determined. Below we review the various methods for calculating the temperature distribution and discuss the origin of the discrepancies between the various works.
3.2.2.1. Method by analysis of thermal modification at various ambient temperatures. Shimizu et al. proposed a unique method to estimate the temperature distribution during HRR femtosecond laser irradiation [114,115]. A glass sample was placed inside a temperature controllable enclosure so that laser writing could be performed at varying ambient temperatures. As the temperature of glass increased, the radius of the modification became larger as shown in Fig. 3-7(a). This temperature dependence suggests that the volume of the modification is determined by the characteristic threshold temperature, Tout, because the temperature of the glass before irradiation enlarges the region in which the temperature exceeds Tout during laser irradiation. Fig. 3-7(b) shows that the thermal modification occurs in the region where the temperature during laser 82 T.T. Fernandez et al. / Progress in Materials Science 94 (2018) 68–113
Fig. 3-7. (a) Thermal modifications inside a soda lime glass by 250 kHz femtosecond laser irradiation at different pulse energies and different ambient temperatures. (b) Optical microscope images of the modification at various temperatures (Ta). The expected temperature distributions during laser irradiation are shown below, with the broken lines indicating the characteristic temperature, Tout for the modification.
irradiation was above the threshold temperature Tout and the volume where the temperature was above Tout becomes larger with increasing ambient temperature, Ta. Based on the idea, they measured the radii (Rb) of the thermal modifications, which had been induced by focusing 2.0 lJ and 80 fs laser pulses inside a sodalime glass with a 20 objective lens at 250 kHz, versus ambient temperatures, Ta (Fig. 3-8 (a)). Then, they analyzed the plot of Rb versus Ta to obtain the temperature distribution during laser irradiation and Tout. Fig. 3-8(a) shows that Rb became larger with increasing Ta. The first step of their analysis was to obtain the relation between Rb, Ta and Tout based on the model shown in Fig. 3-7(b). They expressed the temperature distribution change during laser irradiation by DT(r), where r is the distance from the center of a thermal modification. Because the model shown in Fig. 3-7(b) assumed that the thermal modification should occur in the region where the temperature during laser irradiation has been above Tout, the temperature at the boundary (r = Rb where r is the radial position from the laser beam axis) of the modification must be equal to Tout. In addition, when the ambient temperature is Ta, the temperature at r is DT(r) in addition to Ta. Therefore, the obtained the relation between Rb, Ta and Tout:
DTðr ¼ RbÞþTa ¼ Tout: ð3-11Þ
This equation implies that Rb becomes larger at higher Ta, because DT(r) is a decaying function. At the next step, the authors obtained a simple function that can express simulated temperature distributions during laser irradiation at 250 kHz. They found that the simulated temperature distributions can be fit with a simple function [35,115]. A DTðrÞ¼ 2 ð3-12Þ ðr R0Þ þ B where the parameters A, R0 and B are just for expressing temperature distributions. By substituting Eq. (3-14) into Eq. (3-13), the following equation can be obtained: