Combining machine learning and computational chemistry for predictive insights into chemical systems
Machine learning models are poised to make a transformative impact on chemical sciences
by dramatically accelerating computational algorithms and amplifying insights available from …
by dramatically accelerating computational algorithms and amplifying insights available from …
[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 …
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 …
GFN2-xTB—An accurate and broadly parametrized self-consistent tight-binding quantum chemical method with multipole electrostatics and density-dependent …
An extended semiempirical tight-binding model is presented, which is primarily designed for
the fast calculation of structures and noncovalent interaction energies for molecular systems …
the fast calculation of structures and noncovalent interaction energies for molecular systems …
Thirty years of density functional theory in computational chemistry: an overview and extensive assessment of 200 density functionals
N Mardirossian, M Head-Gordon - Molecular physics, 2017 - Taylor & Francis
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 …
A robust and accurate tight-binding quantum chemical method for structures, vibrational frequencies, and noncovalent interactions of large molecular systems …
S Grimme, C Bannwarth… - Journal of chemical theory …, 2017 - ACS Publications
We propose a novel, special purpose semiempirical tight binding (TB) method for the
calculation of structures, vibrational frequencies, and noncovalent interactions of large …
calculation of structures, vibrational frequencies, and noncovalent interactions of large …
Probing the reactions of thiourea (CH4N2S) with metals (X= Au, Hf, Hg, Ir, Os, W, Pt, and Re) anchored on fullerene surfaces (C59X)
Upon various investigations conducted in search for a nanosensor material with the best
sensing performance, the need to explore these materials cannot be overemphasized as …
sensing performance, the need to explore these materials cannot be overemphasized as …
Density functional theory for electrocatalysis
It is a considerably promising strategy to produce fuels and high‐value chemicals through
an electrochemical conversion process in the green and sustainable energy systems …
an electrochemical conversion process in the green and sustainable energy systems …
A look at the density functional theory zoo with the advanced GMTKN55 database for general main group thermochemistry, kinetics and noncovalent interactions
We present the GMTKN55 benchmark database for general main group thermochemistry,
kinetics and noncovalent interactions. Compared to its popular predecessor GMTKN30 …
kinetics and noncovalent interactions. Compared to its popular predecessor GMTKN30 …
Improving results by improving densities: Density-corrected density functional theory
Density functional theory (DFT) calculations have become widespread in both chemistry and
materials, because they usually provide useful accuracy at much lower computational cost …
materials, because they usually provide useful accuracy at much lower computational cost …