Renormalized Field Theory of Polymer Solutions. I. Scaling Laws Lothar Schafer Institute for Theoretical Physics
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Entangled Polymer Rings in 2D and Confinement
Entangled Polymer Rings in 2D and Confinement M.Otto and T.A.Vilgis Max-Planck-Institut f¨ur Polymerforschung Postfach 3148, D-55021 Mainz, F.R.G. PACS No: 05.90 +m Other topics in statistical physics and thermodynamics 36.20 Macromolecules and polymeric molecules arXiv:cond-mat/9604118v2 17 Apr 1996 1 I Introduction The statistical mechanics of entangled polymers, i.e., polymer chains under topo- logical constraints is a generally unsolved problem. The main difficulty is to specify distinct topological states of the polymer chain. Closed polymers, or polymer loops appear to be a much simpler system as they are either linked (with themselves or with one another) or unlinked. Linear chains, however, can always be disentangled. On a shorter time scale than the disentanglement time though, it seems justified to define topological states ”on the average”, using the same formalism like for polymer loops. Mathematically, the problem of specifying topological states of polymer loops is equivalent to the classification problem for knots and links [1]. Since the mid- eighties considerable progress has been made following Jones [2] as various new knot polynomials have been discovered. (For a review on knots see [1]). For an analytical theory of the polymer entanglement problem, the algebraic form of these invariants is not suitable (see section V for new perspectives). They are generally expressed in one, two or three variables which appear in the defining relations (known as skein relations). There is no immediate relation of these variables to the polymer conformation, and consequently there is no reasonable way how to couple the knot invariant to a statistical weight for a given polymer conformation. -
Polymers for Engineers
SSRG International Journal of Humanities and Social Science - (ICRTESTM) - Special Issue – April 2017 Polymers for Engineers SK.ASMA (M.sc organic chemistry) SVIT COLLEGE, H&S Dept S.AFROZ BEGUM (M.sc organic chemistry) SVIT COLLEGE, H&S Dept INTRODUCTION In 1922 Hermann Staudinger (of Worms, Germany It has become clear that sustainability and profits are 1881-1965) was the first to propose that polymers important when dealing with polymeric materials. consisted of long chains of atoms held together by Polymer engineering covers aspects of the covalent bonds. He also proposed to name these petrochemical industry, polymerization, structure and compounds macromolecules. Before that, scientists characterization of polymers, properties of polymers, believed that polymers were clusters of small compounding and processing of polymers and molecules (called colloids), without definite description of major polymers, structure property molecular weights, held together by an unknown relations and applications. The basic division of force. Staudinger received the Nobel Prize in polymers into thermoplastics, elastomers and Chemistry in 1953. Wallace Carothers invented the thermosets helps define their areas of application. first synthetic rubber called neoprene in 1931, the The latter group of materials includes phenolic resins, first polyester, and went on to invent nylon, a true polyesters and epoxy resins, all of which are used silk replacement, in 1935. Paul Flory was awarded widely in composite materials when reinforced with the Nobel Prize in Chemistry in 1974 for his work on stiff fibres such as fibreglass and aramids. polymer random coil configurations in solution in the 1950s. Stephanie Kwolek developed an aramid, or The work of Henri Braconnot in 1777 and the work aromatic nylon named Kevlar, patented in 1966. -
Molecularly-Informed Field-Theoretic Simulations of Soft Matter
Building on Sir Sam’s Formalism: Molecularly-Informed Field-Theoretic Simulations of Soft Matter Glenn H. Fredrickson Departments of Chemical Engineering & Materials Materials Research Laboratory (MRL) University of California, Santa Barbara R&D Strategy Office Mitsubishi Chemical Holdings Corporation Tokyo, Japan TexPoint fonts used in EMF. Read the TexPoint manual before you delete this box.: AAAAA Acknowledgements Postdocs: Nabil Laachi Funding: Xingkun Man Rob Riggleman NSF DMR-CMMT Scott Sides, Eric Cochran NSF DMR-MRSEC Yuri Popov, Jay Lee US Army (ICB) Venkat Ganesan Complex Fluids Design Consortium (CFDC): Students: Rhodia Mike Villet Mitsubishi Chemical Erin Lennon Arkema Su-Mi Hur Dow Chemical Debbie Audus Nestlé Kraton Polymers DSM Collaborators: Intel, JSR, Asahi Kasei, Samsung Kris Delaney (UCSB) IBM, SK Hynix Henri Orland (Saclay) SNL, LANL, ARL Hector Ceniceros (UCSB) Carlos Garcia-Cervera (UCSB) Sam’s Favorite Complex Gaussian Integrals Representing: Pair interaction (Re v > 0) Inverse operator (Re L > 0) True for scalars, vectors, and functions w and ! Outline Field-theoretic simulations Why? Methodology Applications Advanced lithography – directed self- assembly Polyelectrolyte complexation Fun Superfluid He We aim to develop simulation tools that can guide the design of nano/meso-structured polymer formulations and soft materials Why nano-structured polymers? Nano-structuring is a way to achieve functionality that differentiates and adds value to existing and new families of polymers and derivative materials Nanoscale Morphology Control: Block Copolymers • Microphase separation of block copolymers SBS Triblock Thermoplastic Elastomer S 10 nm B Holden & Legge S S (Shell – Kraton Polymers) Elastic, clear f Rigid, tough, clear Why Field-Based Simulations? Nano/meso: 1 nm to 1 μm Relevant spatial and time scales challenging for fully atomistic, “particle-based” simulations 3x3x3 unit cells of Fddd (O70) phase in ABC triblock, K. -
Theoretical and Computational Investigation of Self-Assembly in Bio-Inspired and Polymeric Materials
Theoretical and Computational Investigation of Self-Assembly in Bio-inspired and Polymeric Materials by Carl E. Rogers A dissertation submitted in partial satisfaction of the requirements for the degree of Doctor of Philosophy in Biophysics in the Graduate Division of the University of California, Berkeley Committee in charge: Professor Phillip Geissler, Chair Professor Daniel Fletcher Professor Berend Smit Fall 2013 Theoretical and Computational Investigation of Self-Assembly in Bio-inspired and Polymeric Materials Copyright 2013 by Carl E. Rogers 1 Abstract Theoretical and Computational Investigation of Self-Assembly in Bio-inspired and Polymeric Materials by Carl E. Rogers Doctor of Philosophy in Biophysics University of California, Berkeley Professor Phillip Geissler, Chair Fabrication of materials through bottom-up, noncovalent self-assembly has the potential to revolutionize many areas of science and engineering that depend upon the precise arrange- ment and interaction of nanometer-scale particles. Theory and computation provide a useful route to studying self-assembly of these materials due to their ability to study the kinetic and thermodynamic features of simplified systems at a level of detail not possible in experiments. In this thesis we study the self-assembly of two bio-inspired systems using a combination of theory and computation. The first is comprised of archaeal chaperonin proteins that form in-vitro two remarkably different structures: filamentous chains and layers of sheets. Using a quasi-dynamical Monte Carlo algorithm, we show that the binary decision for sheet or string formation can be explained by allowing for conformational changes between a sheet-favoring state and a string-favoring state. Using advanced sampling techniques, we find that the energy gap for this conformational change controls structure formation. -
Variety of Scaling Laws for DNA Thermal Denaturation
Variety of scaling laws for DNA thermal denaturation Yulian Honchara,b,c, Christian von Ferberc,b, Yurij Holovatcha,b,c aInstitute for Condensed Matter Physics, National Acad. Sci. of Ukraine, 79011, Lviv, Ukraine bL4 Collaboration & Doctoral College for the Statistical Physics of Complex Systems, Leipzig-Lorraine-Lviv-Coventry, Europe cCentre for Fluid and Complex Systems, Coventry University, CV1 5FB, Coventry, United Kingdom Abstract We discuss possible mechanisms that may impact the order of the transition between denaturated and bound DNA states and lead to changes in the scaling laws that govern conformational properties of DNA strands. To this end, we re-consider the Poland-Scheraga model and apply a polymer field theory ap- proach to calculate entropic exponents associated with the denaturated loop distribution. We discuss in particular variants of this transition that may oc- cur due to the properties of the solution and may affect the self- and mutual interaction of both single and double strands. We find that the effects studied significantly influence the strength of the first order transition. This is man- ifest in particular by the changes in the scaling laws that govern DNA loop and strand distribution. As a quantitative measure of these changes we present the values of corresponding scaling exponents. For the d = 4 − " case we get corresponding "4 expansions and evaluate the perturbation theory expansions at space dimension d = 3 by means of resummation technique. Keywords: DNA denaturation, Scaling exponents, "-expansion 1. Introduction In its native state DNA has a form of a helix that consists of two strands bound together by hydrogen bonds. -
Renormalized Field Theory of Polymer Solutions : Extension to General Polydispersity L
Renormalized field theory of polymer solutions : extension to general polydispersity L. Schäfer, T.A. Witten To cite this version: L. Schäfer, T.A. Witten. Renormalized field theory of polymer solutions : extension to general poly- dispersity. Journal de Physique, 1980, 41 (6), pp.459-473. 10.1051/jphys:01980004106045900. jpa- 00209268 HAL Id: jpa-00209268 https://hal.archives-ouvertes.fr/jpa-00209268 Submitted on 1 Jan 1980 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Tome 41 No 6 JUIN 1980 LE JOURNAL DE PHYSIQUE J. Physique 41 (1980) 459L-473 JUIN 1980, 459 Classification Physics Abstracts 36.20C - 05.70J - 03.50K Renormalized field theory of polymer solutions : extension to general polydispersity L. Schäfer Institute for Theoretical Physics, University of Heidelberg, 6900 Heidelberg, West Germany and T. A. Witten Jr. Randall Laboratory of Physics, University of Michigan, Ann Arbor, Michigan 48109, U.S.A. (Reçu le 5 octobre 1979, accepté le 22 février 1980) Résumé. 2014 On étend la méthode du groupe de renormalisation à l’étude de solutions polymères de distributions de longueurs arbitraires (polydispersité). Dans la limite de volume exclu, la polydispersité ne peut être considérée ni comme pertinente, ni comme non pertinente, ni comme marginale. -
Disordered Systems
DISORDEREDSYSTEMS:FROMTHEREPLICA METHODTOTHEDISTRIBUTIONAL ZETA-FUNCTIONAPPROACH róbinson josé acosta diaz Euclidean Field Theory and Disordered Systems Departament of Theoretical Physics Centro Brasileiro de Pesquisas Físicas Rio de Janeiro - Brazil April 4, 2018 Róbinson José Acosta Diaz , Disordered Systems: From the Replica Method to the Distributional Zeta-Function Approach , Euclidean Field Theory and Disordered Systems . advisor: Dr. Nami Fux Svaiter . co-advisor: Dr. Gabriel Santos Menezes . department: Departament of Theoretical Physics . institute: Centro Brasileiro de Pesquisas Físicas . location: Rio de Janeiro - Brazil . time frame: April 4, 2018 . ABSTRACT We introduce a new mathematical rigorous technique using replica fields for computing the average free energy of disordered systems with quenched randomness. The basic tool of this technique is the distributional zeta function from which we can write the average free energy of a system as the sum of two contributions. The first one is a series in which all the integer moments of the partition function of the model contribute. The the second one can be made as small as desired. As applications of this approach we study three models. Although the main focus in this thesis is to study some disordered models under the magnifying glass of that alternative technique, we start discussing finite-size effects in a disordered λϕ4 model defined in a d-dimensional Euclidean space using the replica approach, the scalar field is coupled to a quenched random field and satisfies peri- odic boundary conditions along one dimension. In this scenario, we examine finite-size effects in the one-loop approximation for d = 3 and d = 4. We show that in both cases there is a critical length where the system develops a second-order phase transition. -
Path Integrals in Polymer Physics
H. Kleinert, PATH INTEGRALS January 6, 2016 (/home/kleinert/kleinert/books/pathis/pthic15.tex)Thou com’st in such a questionable shape, That I will speak to thee. William Shakespeare (1564–1616), Hamlet 15 Path Integrals in Polymer Physics The use of path integrals is not confined to the quantum-mechanical description point particles in spacetime. An important field of applications lies in polymer physics where they are an ideal tool for studying the statistical fluctuations of line- like physical objects. 15.1 Polymers and Ideal Random Chains A polymer is a long chain of many identical molecules connected with each other at joints which allow for spatial rotations. A large class of polymers behaves ap- proximately like an idealized random chain. This is defined as a chain of N links of a fixed length a, whose rotational angles occur all with equal probability (see Fig. 15.1). The probability distribution of the end-to-end distance vector xb xa of such an object is given by − N 1 N P (x x )= d3∆x δ( ∆x a) δ(3)(x x ∆x ). (15.1) N b − a n 4πa2 | n| − b − a − n nY=1 Z nX=1 The last δ-function makes sure that the vectors ∆xn of the chain elements add up correctly to the distance vector x x . The δ-functions under the product enforce b − a the fixed length of the chain elements. The length a is also called the bond length of the random chain. The angular probabilities of the links are spherically symmetric. -
Physics Reports Complex Langevin and Other Approaches to the Sign
Physics Reports 892 (2021) 1–54 Contents lists available at ScienceDirect Physics Reports journal homepage: www.elsevier.com/locate/physrep Complex Langevin and other approaches to the sign problem in quantum many-body physics ∗ C.E. Berger a,1, L. Rammelmüller b,c,1, A.C. Loheac a, F. Ehmann b, J. Braun b,e,d, , J.E. Drut a a Department of Physics and Astronomy, University of North Carolina, Chapel Hill, NC 27599, USA b Institut für Kernphysik (Theoriezentrum), Technische Universität Darmstadt, D-64289 Darmstadt, Germany c GSI Helmholtzzentrum für Schwerionenforschung GmbH, Planckstraße 1, D-64291 Darmstadt, Germany d FAIR, Facility for Antiproton and Ion Research in Europe GmbH, Planckstraße 1, D-64291 Darmstadt, Germany e ExtreMe Matter Institute EMMI, GSI, Planckstraße 1, D-64291 Darmstadt, Germany article info a b s t r a c t Article history: We review the theory and applications of complex stochastic quantization to the quan- Received 3 September 2019 tum many-body problem. Along the way, we present a brief overview of a number of Received in revised form 25 August 2020 ideas that either ameliorate or in some cases altogether solve the sign problem, including Accepted 8 September 2020 the classic reweighting method, alternative Hubbard–Stratonovich transformations, dual Available online 7 October 2020 variables (for bosons and fermions), Majorana fermions, density-of-states methods, Editor: A. Schwenk imaginary asymmetry approaches, and Lefschetz thimbles. We discuss some aspects Keywords: of the mathematical underpinnings of conventional stochastic quantization, provide Sign problem a few pedagogical examples, and summarize open challenges and practical solutions Stochastic quantization for the complex case.