Gaussian process regression for materials and molecules
We provide an introduction to Gaussian process regression (GPR) machine-learning
methods in computational materials science and chemistry. The focus of the present review …
methods in computational materials science and chemistry. The focus of the present review …
[HTML][HTML] Software for the frontiers of quantum chemistry: An overview of developments in the Q-Chem 5 package
This article summarizes technical advances contained in the fifth major release of the Q-
Chem quantum chemistry program package, covering developments since 2015. A …
Chem quantum chemistry program package, covering developments since 2015. A …
Four generations of high-dimensional neural network potentials
J Behler - Chemical Reviews, 2021 - ACS Publications
Since their introduction about 25 years ago, machine learning (ML) potentials have become
an important tool in the field of atomistic simulations. After the initial decade, in which neural …
an important tool in the field of atomistic simulations. After the initial decade, in which neural …
Simultaneous nanocatalytic surface activation of pollutants and oxidants for highly efficient water decontamination
Removal of organic micropollutants from water through advanced oxidation processes
(AOPs) is hampered by the excessive input of energy and/or chemicals as well as the large …
(AOPs) is hampered by the excessive input of energy and/or chemicals as well as the large …
[HTML][HTML] DFTB+, a software package for efficient approximate density functional theory based atomistic simulations
DFTB+ is a versatile community developed open source software package offering fast and
efficient methods for carrying out atomistic quantum mechanical simulations. By …
efficient methods for carrying out atomistic quantum mechanical simulations. By …
Supramolecular tuning of supported metal phthalocyanine catalysts for hydrogen peroxide electrosynthesis
Two-electron oxygen reduction offers a route to H2O2 that is potentially cost-effective and
less energy-intensive than the industrial anthraquinone process. However, the catalytic …
less energy-intensive than the industrial anthraquinone process. However, the catalytic …
A generally applicable atomic-charge dependent London dispersion correction
The so-called D4 model is presented for the accurate computation of London dispersion
interactions in density functional theory approximations (DFT-D4) and generally for atomistic …
interactions in density functional theory approximations (DFT-D4) and generally for atomistic …
Advanced capabilities for materials modelling with Quantum ESPRESSO
Q uantum ESPRESSO is an integrated suite of open-source computer codes for quantum
simulations of materials using state-of-the-art electronic-structure techniques, based on …
simulations of materials using state-of-the-art electronic-structure techniques, based on …
Dispersion-corrected mean-field electronic structure methods
Mean-field electronic structure methods like Hartree–Fock, semilocal density functional
approximations, or semiempirical molecular orbital (MO) theories do not account for long …
approximations, or semiempirical molecular orbital (MO) theories do not account for long …
Extension of the D3 dispersion coefficient model
A new model, termed D4, for the efficient computation of molecular dipole-dipole dispersion
coefficients is presented. As in the related, well established D3 scheme, these are obtained …
coefficients is presented. As in the related, well established D3 scheme, these are obtained …