Forces from Stochastic Density Functional Theory Under Nonorthogonal Atom-Centered Basis Sets
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Arxiv:1805.00538V1 [Physics.Atm-Clus] 1 May 2018 Conduction Band Electrons Excited by an Oscillating Electric field, Typically a Photon
First principles absorption spectra of Au nanoparticles: from quantum to classical Samuel Hernandeza∗, Yantao Xiab∗, Vojtˇech Vlˇceka, Robert Boutellea, Roi Baerc, Eran Rabanid,e, Daniel Neuhausera a Department of Chemistry and Biochemistry, University of California, Los Angeles, California 90095, USA.; b Department of Chemical and Biomolecular Engineering, University of California, Los Angeles, California 90095, USA.; c Fritz Haber Center for Molecular Dynamics and Institute of Chemistry, The Hebrew University of Jerusalem, Jerusalem 9190401, Israel; d Department of Chemistry, University of California, Berkeley, California 94720, USA. e The Raymond and Beverly Sackler Center for Computational Molecular and Materials Science, Tel Aviv University, Tel Aviv 69978, Israel. ARTICLE HISTORY Compiled May 3, 2018 Abstract Absorption cross-section spectra for gold nanoparticles were calculated using fully quantum Stochastic Density Functional Theory and a classical Finite-Difference Time Domain (FDTD) Maxwell solver. Spectral shifts were monitored as a function of size (1.3{3.1 nm) and shape (octahedron, cubeoctahedron, and truncated cube). Even though the classical approach is forced to fit the quantum TDDFT at 3.1nm, at smaller sizes there is a significant deviation as the classical theory is unable to account for peak splitting and spectral blue shifts even after quantum spectral corrections. We attribute the failure of classical methods at predicting these features to quantum effects and low density of states in small nanoparticles. Classically, plasmon resonances are modeled as collective conduction electron excitations, but at small nanoparticle size these excitations transition to few or even individual conductive electron excitations, as indicated by our results. Introduction The unique physical and chemical properties of nanoparticles have generated intense academic and industrial interest, in hope that these properties, once well-understood, could be used for technological advances. -
Stochastic Density Functional Theory
Stochastic density functional theory Marcel David Fabian∗ Fritz Haber Center for Molecular Dynamics and Institute of Chemistry, The Hebrew University of Jerusalem, Jerusalem 9190401, Israel Ben Shpiro∗ Fritz Haber Center for Molecular Dynamics and Institute of Chemistry, The Hebrew University of Jerusalem, Jerusalem 9190401, Israel Eran Rabaniy Department of Chemistry, University of California, Berkeley, California 94720, USA, and Materials Science Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA, and The Sackler Center for Computational Molecular and Materials Science, Tel Aviv University, Tel Aviv 69978, Israel Daniel Neuhauserz Department of Chemistry and Biochemistry, University of California, Los Angeles California 90095, USA Roi Baerx Fritz Haber Center for Molecular Dynamics and Institute of Chemistry, The Hebrew University of Jerusalem, Jerusalem 9190401, Israel Linear-scaling implementations of density functional theory (DFT) reach their intended efficiency regime only when applied to systems having a physical size larger than the range of their Kohn- Sham density matrix (DM). This causes a problem since many types of large systems of interest have a rather broad DM range and are therefore not amenable to analysis using DFT methods. For this reason, the recently proposed stochastic DFT (sDFT), avoiding exhaustive DM evaluations, is emerging as an attractive alternative linear-scaling approach. This review develops a general formulation of sDFT in terms of a (non)orthogonal basis representation and offers an analysis of the statistical errors (SEs) involved in the calculation. Using a new Gaussian-type basis-set implementation of sDFT, applied to water clusters and silicon nanocrystals, it demonstrates and explains how the standard deviation and the bias depend on the sampling rate and the system size in various types of calculations. -
Stochastic Resolution of Identity for Real-Time Second-Order Green's
Article Cite This: J. Chem. Theory Comput. XXXX, XXX, XXX−XXX pubs.acs.org/JCTC Stochastic Resolution of Identity for Real-Time Second-Order Green’s Function: Ionization Potential and Quasi-Particle Spectrum † ‡ † § ∥ ⊥ Wenjie Dou,*, Tyler Y. Takeshita,*, Ming Chen,*, , Roi Baer,*, Daniel Neuhauser,*, † § # and Eran Rabani*, , , † Department of Chemistry, University of California Berkeley, Berkeley, California 94720, United States ‡ Mercedes-Benz Research and Development North America, Sunnyvale, California 94085, United States § Materials Sciences Devision, Lawrence Berkeley National Laboratory, Berkeley, California 94720, United States ∥ Fritz Haber Research Center for Molecular Dynamics, Institute of Chemistry, The Hebrew University of Jerusalem, Jerusalem 9190401, Israel ⊥ Department of Chemistry and Biochemistry, University of California Los Angeles, Los Angeles, California 90095, United States # The Raymond and Beverly Sackler Center of Computational Molecular and Materials Science, Tel Aviv University, Tel Aviv 69978, Israel ABSTRACT: We develop a stochastic resolution of identity approach to the real-time second-order Green’s function (real-time sRI-GF2) theory, extending our recent work for imaginary-time Matsubara Green’s function [Takeshita et al. J. Chem. Phys. 2019, 151, 044114]. The approach provides a framework to obtain the quasi-particle spectra across a wide range of frequencies and predicts ionization potentials and electron affinities. To assess the accuracy of the real-time sRI-GF2, we study a series of molecules and compare our results to experiments as well as to a many-body perturbation approach based on the GW approximation, where we find that the real-time sRI-GF2 is as accurate as self-consistent GW. The stochastic formulation reduces the formal computatinal O N 5 O N 3 N scaling from ( e ) down to ( e ) where e is the number of electrons. -
Program Sunday 17/2 Nonadiabatic Dynamics Chair: Marco Garavelli 11:00 11:10 Sanford Ruhman Opening Remarks 11:10 11:50 Eberhard K
Dead Sea Workshop on Excitons in Natural and Manmade Materials Ein Gedi, February 17-20 2013 Program Sunday 17/2 Nonadiabatic Dynamics Chair: Marco Garavelli 11:00 11:10 Sanford Ruhman Opening Remarks 11:10 11:50 Eberhard K. U. Gross MPI for Microstructure Physics, What's the correct classical force on the nuclei: A fresh look at Halle, Germany potential energy surfaces and Berry phases in the time domain 11:50 12:30 Siva Umapathy Indian Institute of Science, Frequency and time-resolved resonance Raman approaches to Bangalore, India understanding conical intersections: examples and potential experiments 12:30 13:10 Giulio Cerullo Politecnico di Milano, Italy Real-time wavepacket dynamics through a conical intersection: the primary event of vision 13:10 14:40 Lunch 14:40 15:20 Wolfgang Domcke Technische Universität Computational studies of the photoinduced homolytic München, Germany dissociation of water in hydrogen-bonded chromophore-water complexes 15:20 16:00 Bern Kohler Montana State University, USA Unraveling excited state localization and decay in single- and double-stranded nucleic acids 16:00 16:40 Alan Aspuru Guzik Harvard University, Towards the happy marriage of correlated electronic structure Massachusetts, USA and open quantum systems theory: correlated polaron theory 16:40 17:00 Coffee Magnetoreception and Avian Navigation Chair: Ksenia Bravaya 17:00 17:40 Abraham Nitzan Tel Aviv University, Israel Excitonic effects in molecular electronics and molecular plasmonics 17:40 18:20 Kiminori Maeda University of Oxford, UK Magnetically