Combining machine learning and computational chemistry for predictive insights into chemical systems

JA Keith, V Vassilev-Galindo, B Cheng… - Chemical …, 2021 - ACS Publications
Machine learning models are poised to make a transformative impact on chemical sciences
by dramatically accelerating computational algorithms and amplifying insights available from …

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 …

[HTML][HTML] PSI4 1.4: Open-source software for high-throughput quantum chemistry

DGA Smith, LA Burns, AC Simmonett… - The Journal of …, 2020 - pubs.aip.org
PSI4 is a free and open-source ab initio electronic structure program providing
implementations of Hartree–Fock, density functional theory, many-body perturbation theory …

Realistic phase diagram of water from “first principles” data-driven quantum simulations

SL Bore, F Paesani - Nature communications, 2023 - nature.com
Since the experimental characterization of the low-pressure region of water's phase diagram
in the early 1900s, scientists have been on a quest to understand the thermodynamic …

[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 …

Parmbsc1: a refined force field for DNA simulations

I Ivani, PD Dans, A Noy, A Pérez, I Faustino… - Nature …, 2016 - nature.com
We present parmbsc1, a force field for DNA atomistic simulation, which has been
parameterized from high-level quantum mechanical data and tested for nearly 100 systems …

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 …

Computer modeling of halogen bonds and other σ-hole interactions

MH Kolar, P Hobza - Chemical reviews, 2016 - ACS Publications
In the field of noncovalent interactions a new paradigm has recently become popular. It
stems from the analysis of molecular electrostatic potentials and introduces a label, which …

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 …

Semiempirical quantum mechanical methods for noncovalent interactions for chemical and biochemical applications

AS Christensen, T Kubar, Q Cui, M Elstner - Chemical reviews, 2016 - ACS Publications
Semiempirical (SE) methods can be derived from either Hartree–Fock or density functional
theory by applying systematic approximations, leading to efficient computational schemes …