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 …
[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 …
Intermolecular interaction characteristics of the all-carboatomic ring, cyclo [18] carbon: Focusing on molecular adsorption and stacking
Z Liu, T Lu, Q Chen - Carbon, 2021 - Elsevier
Recently, an intriguing all-carboatomic ring, cyclo [18] carbon, was observed in the
condensed phase for the first time, and it quickly attracted widespread attention. In this …
condensed phase for the first time, and it quickly attracted widespread attention. In this …
DFT exchange: sharing perspectives on the workhorse of quantum chemistry and materials science
In this paper, the history, present status, and future of density-functional theory (DFT) is
informally reviewed and discussed by 70 workers in the field, including molecular scientists …
informally reviewed and discussed by 70 workers in the field, including molecular scientists …
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 …
Computational methods in heterogeneous catalysis
The unprecedented ability of computations to probe atomic-level details of catalytic systems
holds immense promise for the fundamentals-based bottom-up design of novel …
holds immense promise for the fundamentals-based bottom-up design of novel …
CRYSTAL23: A program for computational solid state physics and chemistry
The Crystal program for quantum-mechanical simulations of materials has been bridging the
realm of molecular quantum chemistry to the realm of solid state physics for many years …
realm of molecular quantum chemistry to the realm of solid state physics for many years …
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 …
Even more efficient quantum computations of chemistry through tensor hypercontraction
We describe quantum circuits with only O~(N) Toffoli complexity that block encode the
spectra of quantum chemistry Hamiltonians in a basis of N arbitrary (eg, molecular) orbitals …
spectra of quantum chemistry Hamiltonians in a basis of N arbitrary (eg, molecular) orbitals …
Machine learning interatomic potentials and long-range physics
Advances in machine learned interatomic potentials (MLIPs), such as those using neural
networks, have resulted in short-range models that can infer interaction energies with near …
networks, have resulted in short-range models that can infer interaction energies with near …