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Roland Assaraf

Showing results (1-10 of 13) with videos related to

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Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|January 24, 2015
Computing physical properties with quantum Monte Carlo methods with statistical fluctuations independent of system sizeRoland Assaraf
Journal of Chemical Theory and Computation|February 11, 2021
Stochastic Effective Core Potentials, toward Efficient Quantum Monte Carlo Simulations of Molecules with Large Atomic NumbersJonas Feldt, Roland Assaraf
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|April 16, 2014
Calculation of space localized properties in correlated quantum Monte Carlo methods with reweighting: the nonlocality of statistical uncertaintiesRoland Assaraf, Dominik Domin
The Journal of Chemical Physics|May 23, 2016
Simple formalism for efficient derivatives and multi-determinant expansions in quantum Monte CarloClaudia Filippi, Roland Assaraf, Saverio Moroni
Journal of Chemical Theory and Computation|September 6, 2017
Optimizing the Energy with Quantum Monte Carlo: A Lower Numerical Scaling for Jastrow-Slater ExpansionsRoland Assaraf, S Moroni, Claudia Filippi
Physical Chemistry Chemical Physics : PCCP|June 29, 2022
Stochastic effective core potentials, improving efficiency using a spin-dependent core definitionJonas Feldt, Antoine Bienvenu, Roland Assaraf
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|May 16, 2007
Improved Monte Carlo estimators for the one-body densityRoland Assaraf, Michel Caffarel, Anthony Scemama
The Journal of Chemical Physics|July 7, 2007
Zero-variance zero-bias quantum Monte Carlo estimators of the spherically and system-averaged pair densityJulien Toulouse, Roland Assaraf, C J Umrigar
Physical Review Letters|May 17, 2011
Chaotic versus nonchaotic stochastic dynamics in Monte Carlo simulations: a route for accurate energy differences in N-body systemsRoland Assaraf, Michel Caffarel, A C Kollias
Physical Review. E|September 16, 2022
Systematic lowering of the scaling of Monte Carlo calculations by partitioning and subsamplingAntoine Bienvenu, Jonas Feldt, Julien Toulouse, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|January 24, 2015
Computing physical properties with quantum Monte Carlo methods with statistical fluctuations independent of system sizeRoland Assaraf
Journal of Chemical Theory and Computation|February 11, 2021
Stochastic Effective Core Potentials, toward Efficient Quantum Monte Carlo Simulations of Molecules with Large Atomic NumbersJonas Feldt, Roland Assaraf
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|April 16, 2014
Calculation of space localized properties in correlated quantum Monte Carlo methods with reweighting: the nonlocality of statistical uncertaintiesRoland Assaraf, Dominik Domin
The Journal of Chemical Physics|May 23, 2016
Simple formalism for efficient derivatives and multi-determinant expansions in quantum Monte CarloClaudia Filippi, Roland Assaraf, Saverio Moroni
Journal of Chemical Theory and Computation|September 6, 2017
Optimizing the Energy with Quantum Monte Carlo: A Lower Numerical Scaling for Jastrow-Slater ExpansionsRoland Assaraf, S Moroni, Claudia Filippi
Physical Chemistry Chemical Physics : PCCP|June 29, 2022
Stochastic effective core potentials, improving efficiency using a spin-dependent core definitionJonas Feldt, Antoine Bienvenu, Roland Assaraf
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|May 16, 2007
Improved Monte Carlo estimators for the one-body densityRoland Assaraf, Michel Caffarel, Anthony Scemama
The Journal of Chemical Physics|July 7, 2007
Zero-variance zero-bias quantum Monte Carlo estimators of the spherically and system-averaged pair densityJulien Toulouse, Roland Assaraf, C J Umrigar
Physical Review Letters|May 17, 2011
Chaotic versus nonchaotic stochastic dynamics in Monte Carlo simulations: a route for accurate energy differences in N-body systemsRoland Assaraf, Michel Caffarel, A C Kollias
Physical Review. E|September 16, 2022
Systematic lowering of the scaling of Monte Carlo calculations by partitioning and subsamplingAntoine Bienvenu, Jonas Feldt, Julien Toulouse, et al.
Pageof 2