[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 …
Quantum‐mechanical condensed matter simulations with CRYSTAL
R Dovesi, A Erba, R Orlando… - Wiley …, 2018 - Wiley Online Library
The latest release of the Crystal program for solid‐state quantum‐mechanical ab initio
simulations is presented. The program adopts atom‐centered Gaussian‐type functions as a …
simulations is presented. The program adopts atom‐centered Gaussian‐type functions as a …
Pushing the frontiers of density functionals by solving the fractional electron problem
Density functional theory describes matter at the quantum level, but all popular
approximations suffer from systematic errors that arise from the violation of mathematical …
approximations suffer from systematic errors that arise from the violation of mathematical …
Thirty years of density functional theory in computational chemistry: an overview and extensive assessment of 200 density functionals
In the past 30 years, Kohn–Sham density functional theory has emerged as the most popular
electronic structure method in computational chemistry. To assess the ever-increasing …
electronic structure method in computational chemistry. To assess the ever-increasing …
Advances in molecular quantum chemistry contained in the Q-Chem 4 program package
A summary of the technical advances that are incorporated in the fourth major release of the
q-Chem quantum chemistry program is provided, covering approximately the last seven …
q-Chem quantum chemistry program is provided, covering approximately the last seven …
ANI-1: an extensible neural network potential with DFT accuracy at force field computational cost
Deep learning is revolutionizing many areas of science and technology, especially image,
text, and speech recognition. In this paper, we demonstrate how a deep neural network (NN) …
text, and speech recognition. In this paper, we demonstrate how a deep neural network (NN) …
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 …
Long-range corrected hybrid density functionals with damped atom–atom dispersion corrections
We report re-optimization of a recently proposed long-range corrected (LC) hybrid density
functional [J.-D. Chai and M. Head-Gordon, J. Chem. Phys., 2008, 128, 084106] to include …
functional [J.-D. Chai and M. Head-Gordon, J. Chem. Phys., 2008, 128, 084106] to include …
Challenges for density functional theory
Density functional theory (DFT) of electronic structure has made an unparalleled impact on
the application of quantum mechanics to interesting and challenging problems in chemistry …
the application of quantum mechanics to interesting and challenging problems in chemistry …
Machine learning for electronically excited states of molecules
Electronically excited states of molecules are at the heart of photochemistry, photophysics,
as well as photobiology and also play a role in material science. Their theoretical description …
as well as photobiology and also play a role in material science. Their theoretical description …