[HTML][HTML] Recent developments in the PySCF program package

Q Sun, X Zhang, S Banerjee, P Bao, M Barbry… - The Journal of …, 2020 - pubs.aip.org
P y SCF is a Python-based general-purpose electronic structure platform that supports first-
principles simulations of molecules and solids as well as accelerates the development of …

TeraChem: A graphical processing unit‐accelerated electronic structure package for large‐scale ab initio molecular dynamics

S Seritan, C Bannwarth, BS Fales… - Wiley …, 2021 - Wiley Online Library
TeraChem was born in 2008 with the goal of providing fast on‐the‐fly electronic structure
calculations to facilitate ab initio molecular dynamics studies of large biochemical systems …

[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 …

Development and benchmarking of open force field 2.0. 0: the Sage small molecule force field

S Boothroyd, PK Behara, OC Madin… - Journal of chemical …, 2023 - ACS Publications
We introduce the Open Force Field (OpenFF) 2.0. 0 small molecule force field for drug-like
molecules, code-named Sage, which builds upon our previous iteration, Parsley. OpenFF …

Psi4 1.1: An Open-Source Electronic Structure Program Emphasizing Automation, Advanced Libraries, and Interoperability

RM Parrish, LA Burns, DGA Smith… - Journal of chemical …, 2017 - ACS Publications
Psi4 is an ab initio electronic structure program providing methods such as Hartree–Fock,
density functional theory, configuration interaction, and coupled-cluster theory. The 1.1 …

MACE-OFF23: Transferable machine learning force fields for organic molecules

DP Kovács, JH Moore, NJ Browning, I Batatia… - arXiv preprint arXiv …, 2023 - arxiv.org
Classical empirical force fields have dominated biomolecular simulation for over 50 years.
Although widely used in drug discovery, crystal structure prediction, and biomolecular …

Development and benchmarking of open force field v1. 0.0—the parsley small-molecule force field

Y Qiu, DGA Smith, S Boothroyd, H Jang… - Journal of chemical …, 2021 - ACS Publications
We present a methodology for defining and optimizing a general force field for classical
molecular simulations, and we describe its use to derive the Open Force Field 1.0. 0 small …

Accurate multiobjective design in a space of millions of transition metal complexes with neural-network-driven efficient global optimization

JP Janet, S Ramesh, C Duan, HJ Kulik - ACS central science, 2020 - ACS Publications
The accelerated discovery of materials for real world applications requires the achievement
of multiple design objectives. The multidimensional nature of the search necessitates …

A quantitative uncertainty metric controls error in neural network-driven chemical discovery

JP Janet, C Duan, T Yang, A Nandy, HJ Kulik - Chemical science, 2019 - pubs.rsc.org
A quantitative uncertainty metric controls error in neural network-driven chemical discovery -
Chemical Science (RSC Publishing) DOI:10.1039/C9SC02298H Royal Society of Chemistry …

Resolving transition metal chemical space: Feature selection for machine learning and structure–property relationships

JP Janet, HJ Kulik - The Journal of Physical Chemistry A, 2017 - ACS Publications
Machine learning (ML) of quantum mechanical properties shows promise for accelerating
chemical discovery. For transition metal chemistry where accurate calculations are …