Best‐practice DFT protocols for basic molecular computational chemistry
Nowadays, many chemical investigations are supported by routine calculations of molecular
structures, reaction energies, barrier heights, and spectroscopic properties. The lion's share …
structures, reaction energies, barrier heights, and spectroscopic properties. The lion's share …
Computational discovery of transition-metal complexes: from high-throughput screening to machine learning
Transition-metal complexes are attractive targets for the design of catalysts and functional
materials. The behavior of the metal–organic bond, while very tunable for achieving target …
materials. The behavior of the metal–organic bond, while very tunable for achieving target …
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 …
Approaching coupled cluster accuracy with a general-purpose neural network potential through transfer learning
Computational modeling of chemical and biological systems at atomic resolution is a crucial
tool in the chemist's toolset. The use of computer simulations requires a balance between …
tool in the chemist's toolset. The use of computer simulations requires a balance between …
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 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 …
Minimally empirical double-hybrid functionals trained against the GMTKN55 database: revDSD-PBEP86-D4, revDOD-PBE-D4, and DOD-SCAN-D4
G Santra, N Sylvetsky, JML Martin - The Journal of Physical …, 2019 - ACS Publications
We present a family of minimally empirical double-hybrid DFT functionals parametrized
against the very large and diverse GMTKN55 benchmark. The very recently proposed …
against the very large and diverse GMTKN55 benchmark. The very recently proposed …
[HTML][HTML] ωB97M-V: A combinatorially optimized, range-separated hybrid, meta-GGA density functional with VV10 nonlocal correlation
N Mardirossian, M Head-Gordon - The Journal of chemical physics, 2016 - pubs.aip.org
A combinatorially optimized, range-separated hybrid, meta-GGA density functional with
VV10 nonlocal correlation is presented. The final 12-parameter functional form is selected …
VV10 nonlocal correlation is presented. The final 12-parameter functional form is selected …
Advances in molecular quantum chemistry contained in the Q-Chem 4 program package
Y Shao, Z Gan, E Epifanovsky, ATB Gilbert… - Molecular …, 2015 - Taylor & Francis
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 …
How accurate are the Minnesota density functionals for noncovalent interactions, isomerization energies, thermochemistry, and barrier heights involving molecules …
N Mardirossian, M Head-Gordon - Journal of chemical theory and …, 2016 - ACS Publications
The 14 Minnesota density functionals published between the years 2005 and early 2016 are
benchmarked on a comprehensive database of 4986 data points (84 data sets) involving …
benchmarked on a comprehensive database of 4986 data points (84 data sets) involving …