State-of-the-art local correlation methods enable affordable gold standard quantum chemistry for up to hundreds of atoms

PR Nagy - Chemical Science, 2024 - pubs.rsc.org
In this feature, we review the current capabilities of local electron correlation methods up to
the coupled cluster model with single, double, and perturbative triple excitations [CCSD (T)] …

Scalable Ab Initio Electronic Structure Methods with Near Chemical Accuracy for Main Group Chemistry

Y Wei, S Debnath, JL Weber, A Mahajan… - The Journal of …, 2024 - ACS Publications
This study evaluates the precision of widely recognized quantum chemical methodologies,
CCSD (T), DLPNO–CCSD (T), and localized ph-AFQMC, for determining the …

What can quantum information theory offer to quantum chemistry?

D Aliverti-Piuri, K Chatterjee, L Ding, K Liao… - Faraday …, 2024 - pubs.rsc.org
It is the ultimate goal of this work to foster synergy between quantum chemistry and the
flourishing field of quantum information theory. For this, we first translate quantum …

Beyond CCSD (T) accuracy at lower scaling with auxiliary field quantum Monte Carlo

A Mahajan, JH Thorpe, JS Kurian… - Journal of Chemical …, 2024 - ACS Publications
We introduce a black-box auxiliary field quantum Monte Carlo (AFQMC) approach to
perform highly accurate electronic structure calculations using configuration interaction …

Capturing Strong Correlation in Molecules with Phaseless Auxiliary-Field Quantum Monte Carlo Using Generalized Hartree–Fock Trial Wave Functions

D Danilov, B Ganoe, M Munyi… - Journal of Chemical Theory …, 2024 - ACS Publications
Generalized Hartree–Fock (GHF) is a long-established electronic structure method that can
lower the energy (compared to spin-restricted variants) by breaking physical wave function …

[КНИГА][B] A Machine Learning-Driven Methodology for the Design of Exchange-Correlation Functionals

K Bystrom - 2024 - search.proquest.com
Computational chemistry and materials science aim to explain and predict the behavior of
chemical systems using computational models. To achieve this goal, we require a method …