Skip to main content
U.S. Department of Energy
Office of Scientific and Technical Information

Machine Learning Diffusion Monte Carlo Forces

Journal Article · · Journal of Physical Chemistry. A, Molecules, Spectroscopy, Kinetics, Environment, and General Theory
Not provided.
Research Organization:
National Alliance for Water Innovation (NAWI), Berkeley, CA (United States)
Sponsoring Organization:
USDOE
OSTI ID:
2424743
Journal Information:
Journal of Physical Chemistry. A, Molecules, Spectroscopy, Kinetics, Environment, and General Theory, Journal Name: Journal of Physical Chemistry. A, Molecules, Spectroscopy, Kinetics, Environment, and General Theory Journal Issue: 1 Vol. 127; ISSN 1089-5639
Publisher:
American Chemical Society
Country of Publication:
United States
Language:
English

References (79)

Maximizing Thermoelectric Figures of Merit by Uniaxially Straining Indium Selenide journal October 2019
Perspective: Machine learning potentials for atomistic simulations journal November 2016
The atomic simulation environment—a Python library for working with atoms journal June 2017
On the role of gradients for machine learning of molecular energies and forces journal October 2020
Machine Learning for Quantum Mechanical Properties of Atoms in Molecules journal July 2015
Constructing high-dimensional neural network potentials: A tutorial review journal March 2015
Methods for calculating forces within quantum Monte Carlo simulations journal February 2010
A combined first principles study of the structural, magnetic, and phonon properties of monolayer CrI3 journal January 2022
Gaussian approximation potentials: A brief tutorial introduction journal April 2015
SchNet – A deep learning architecture for molecules and materials journal June 2018
SchNetPack: A Deep Learning Toolbox For Atomistic Systems journal November 2018
Spin-orbit interactions in electronic structure quantum Monte Carlo methods journal April 2016
Advanced capabilities for materials modelling with Quantum ESPRESSO journal October 2017
sGDML: Constructing accurate and data efficient molecular force fields using machine learning journal July 2019
Insights into one-body density matrices using deep learning journal January 2020
A light weight regularization for wave function parameter gradients in quantum Monte Carlo journal August 2020
Active Learning the Potential Energy Landscape for Water Clusters from Sparse Training Data journal January 2020
Monte Carlo Methods in Ab Initio Quantum Chemistry book March 1994
Introduction to the diffusion Monte Carlo method journal May 1996
Correlated sampling in quantum Monte Carlo: A route to forces journal June 2000
A Machine-Learning Surrogate Model for ab initio Electronic Correlations at Extreme Conditions preprint January 2021
Finding the needle in the haystack: towards solving the protein-folding problem computationally journal October 2017
Toward quantum Monte Carlo forces on heavier ions: Scaling properties journal May 2021
Forces in Molecules journal August 1939
QMCPACK: Advances in the development, efficiency, and application of auxiliary field and real-space variational and diffusion quantum Monte Carlo journal May 2020
Surrogate Hessian accelerated structural optimization for stochastic electronic structure theories journal February 2022
Nexus: A modular workflow management system for quantum simulation codes journal January 2016
An overview of coupled cluster theory and its applications in physics journal January 1991
Accurate forces in quantum Monte Carlo calculations with nonlocal pseudopotentials journal September 2007
Constructing feed-forward artificial neural networks to fit potential energy surfaces for molecular simulation of high-temperature gas flows journal November 2020
A neural network potential-energy surface for the water dimer based on environment-dependent atomic energies and charges journal February 2012
Inferring the quantum density matrix with machine learning preprint January 2019
Algorithmic differentiation and the calculation of forces by quantum Monte Carlo journal December 2010
Machine learning for potential energy surfaces: An extensive database and assessment of methods journal June 2019
Energy Derivatives in Real-Space Diffusion Monte Carlo journal December 2021
Tail-regression estimator for heavy-tailed distributions of known tail indices and its application to continuum quantum Monte Carlo data journal June 2019
Differentiable Programming Tensor Networks journal September 2019
Computing forces with quantum Monte Carlo journal September 2000
Quantum Monte Carlo simulations of solids journal January 2001
SIMPLE-NN: An efficient package for training and executing neural-network interatomic potentials journal September 2019
Stable Liquid Hydrogen at High Pressure by a Novel Ab Initio Molecular-Dynamics Calculation journal March 2008
Amp: A modular approach to machine learning in atomistic simulations journal October 2016
A new generation of effective core potentials for correlated calculations journal December 2017
Breaking the carbon dimer: The challenges of multiple bond dissociation with full configuration interaction quantum Monte Carlo methods journal August 2011
Kernel Methods for Pattern Analysis book January 2011
Machine Learning of Analytical Electron Density in Large Molecules Through Message-Passing journal May 2021
Gaussian process based optimization of molecular geometries using statistically sampled energy surfaces from quantum Monte Carlo journal October 2018
Zero-Variance Principle for Monte Carlo Algorithms journal December 1999
Energy derivatives in quantum Monte Carlo involving the zero-variance property journal December 2008
Density Functional Theory of Electronic Structure journal January 1996
Gaussian Approximation Potentials: The Accuracy of Quantum Mechanics, without the Electrons journal April 2010
Accurate, Efficient, and Simple Forces Computed with Quantum Monte Carlo Methods journal January 2005
Accurate ab initio vibrational energies of methyl chloride journal June 2015
ReaxFF Reactive Force Field for Molecular Dynamics Simulations of Hydrocarbon Oxidation journal February 2008
Machine Learning Diffusion Monte Carlo Energies journal November 2022
Phonons of metallic hydrogen with quantum Monte Carlo journal January 2022
Accuracy of ab initio electron correlation and electron densities in vanadium dioxide journal November 2017
Coupled-cluster theory in quantum chemistry journal February 2007
Practical Schemes for Accurate Forces in Quantum Monte Carlo journal October 2014
Comprehending the quadruple bonding conundrum in C2 from excited state potential energy curves journal January 2020
Assessing the accuracy of quantum Monte Carlo and density functional theory for energetics of small water clusters journal June 2012
A Comparison of Automatic Differentiation and Continuous Sensitivity Analysis for Derivatives of Differential Equation Solutions preprint January 2018
Molecular force fields with gradient-domain machine learning: Construction and application to dynamics of small molecules with coupled cluster forces journal March 2019
A first-principles Quantum Monte Carlo study of two-dimensional (2D) GaSe journal October 2020
Energy-consistent pseudopotentials for quantum Monte Carlo calculations journal June 2007
P y SCF: the Python-based simulations of chemistry framework : The PySCF program
  • Sun, Qiming; Berkelbach, Timothy C.; Blunt, Nick S.
  • Wiley Interdisciplinary Reviews: Computational Molecular Science, Vol. 8, Issue 1 https://doi.org/10.1002/wcms.1340
journal September 2017
Generalized Gradient Approximation Made Simple journal October 1996
QMCPACK : an open source ab initio quantum Monte Carlo package for the electronic structure of atoms, molecules and solids journal April 2018
The self-interaction correction in the time domain journal November 2010
Enabling robust offline active learning for machine learning potentials using simple physics-based priors journal January 2021
Less is more: Sampling chemical space with active learning journal June 2018
Nodal Pulay terms for accurate diffusion quantum Monte Carlo forces journal February 2008
A structural optimization algorithm with stochastic forces and stresses journal November 2022
Total forces in the diffusion Monte Carlo method with nonlocal pseudopotentials journal July 2008
Zero-variance zero-bias principle for observables in quantum Monte Carlo: Application to forces journal November 2003
A new generation of effective core potentials from correlated calculations: 3d transition metal series journal October 2018
Generalized Neural-Network Representation of High-Dimensional Potential-Energy Surfaces journal April 2007
Transferable Machine-Learning Model of the Electron Density journal December 2018
Construction of high-dimensional neural network potentials using environment-dependent atom pairs journal May 2012

Similar Records

MCNNTUNES: Tuning Shower Monte Carlo generators with machine learning
Journal Article · 2021 · Computer Physics Communications · OSTI ID:1815196

Accelerating multilevel Markov Chain Monte Carlo using machine learning models
Journal Article · 2025 · Physica Scripta · OSTI ID:2566341

Self-learning kinetic Monte Carlo simulations of Al diffusion in Mg
Journal Article · 2016 · Journal of Physics. Condensed Matter · OSTI ID:1243197

Related Subjects