Explicitly correlated electrons in molecules

C Hattig, W Klopper, A Kohn, DP Tew - Chemical reviews, 2012 - ACS Publications
One of the central challenges of computational molecular investigation is the solution of the
time-independent, nonrelativistic BornÀ Oppenheimer electronic Schrödinger equation. For …

Thermodynamics and its prediction and CALPHAD modeling: Review, state of the art, and perspectives

ZK Liu - Calphad, 2023 - Elsevier
Thermodynamics is a science concerning the state of a system, whether it is stable,
metastable, or unstable, when interacting with its surroundings. The combined law of …

The first-principles phase diagram of monolayer nanoconfined water

V Kapil, C Schran, A Zen, J Chen, CJ Pickard… - Nature, 2022 - nature.com
Water in nanoscale cavities is ubiquitous and of central importance to everyday phenomena
in geology and biology. However, the properties of nanoscale water can be substantially …

Deep-neural-network solution of the electronic Schrödinger equation

J Hermann, Z Schätzle, F Noé - Nature Chemistry, 2020 - nature.com
The electronic Schrödinger equation can only be solved analytically for the hydrogen atom,
and the numerically exact full configuration-interaction method is exponentially expensive in …

Machine learning for interatomic potential models

T Mueller, A Hernandez, C Wang - The Journal of chemical physics, 2020 - pubs.aip.org
The use of supervised machine learning to develop fast and accurate interatomic potential
models is transforming molecular and materials research by greatly accelerating atomic …

[图书][B] Quantum Monte Carlo approaches for correlated systems

F Becca, S Sorella - 2017 - books.google.com
Over the past several decades, computational approaches to studying strongly-interacting
systems have become increasingly varied and sophisticated. This book provides a …

[HTML][HTML] Perspective: How good is DFT for water?

MJ Gillan, D Alfe, A Michaelides - The Journal of chemical physics, 2016 - pubs.aip.org
Kohn-Sham density functional theory (DFT) has become established as an indispensable
tool for investigating aqueous systems of all kinds, including those important in chemistry …

QMCPACK: an open source ab initio quantum Monte Carlo package for the electronic structure of atoms, molecules and solids

J Kim, AD Baczewski, TD Beaudet… - Journal of Physics …, 2018 - iopscience.iop.org
QMCPACK is an open source quantum Monte Carlo package for ab initio electronic
structure calculations. It supports calculations of metallic and insulating solids, molecules …

[HTML][HTML] JDFTx: Software for joint density-functional theory

R Sundararaman, K Letchworth-Weaver, KA Schwarz… - SoftwareX, 2017 - Elsevier
Density-functional theory (DFT) has revolutionized computational prediction of atomic-scale
properties from first principles in physics, chemistry and materials science. Continuing …

Discovering quantum phase transitions with fermionic neural networks

G Cassella, H Sutterud, S Azadi, ND Drummond… - Physical Review Letters, 2023 - APS
Deep neural networks have been very successful as highly accurate wave function Ansätze
for variational Monte Carlo calculations of molecular ground states. We present an extension …