Best‐practice DFT protocols for basic molecular computational chemistry

M Bursch, JM Mewes, A Hansen… - Angewandte Chemie …, 2022 - Wiley Online Library
Nowadays, many chemical investigations are supported by routine calculations of molecular
structures, reaction energies, barrier heights, and spectroscopic properties. The lion's share …

DFT exchange: sharing perspectives on the workhorse of quantum chemistry and materials science

AM Teale, T Helgaker, A Savin, C Adamo… - Physical chemistry …, 2022 - pubs.rsc.org
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 …

A comprehensive electron wavefunction analysis toolbox for chemists, Multiwfn

T Lu - The Journal of Chemical Physics, 2024 - pubs.aip.org
Analysis of electron wavefunction is a key component of quantum chemistry investigations
and is indispensable for the practical research of many chemical problems. After more than …

Generalized biomolecular modeling and design with RoseTTAFold All-Atom

R Krishna, J Wang, W Ahern, P Sturmfels, P Venkatesh… - Science, 2024 - science.org
Deep-learning methods have revolutionized protein structure prediction and design but are
presently limited to protein-only systems. We describe RoseTTAFold All-Atom (RFAA), which …

Open catalyst 2020 (OC20) dataset and community challenges

L Chanussot, A Das, S Goyal, T Lavril, M Shuaibi… - Acs …, 2021 - ACS Publications
Catalyst discovery and optimization is key to solving many societal and energy challenges
including solar fuel synthesis, long-term energy storage, and renewable fertilizer production …

Robust and efficient implicit solvation model for fast semiempirical methods

S Ehlert, M Stahn, S Spicher… - Journal of Chemical …, 2021 - ACS Publications
We present a robust and efficient method to implicitly account for solvation effects in modern
semiempirical quantum mechanics and force fields. A computationally efficient yet accurate …

Late-stage diversification of indole skeletons through nitrogen atom insertion

JC Reisenbauer, O Green, A Franchino, P Finkelstein… - Science, 2022 - science.org
Compared with peripheral late-stage transformations mainly focusing on carbon–hydrogen
functionalizations, reliable strategies to directly edit the core skeleton of pharmaceutical lead …

Computational discovery of transition-metal complexes: from high-throughput screening to machine learning

A Nandy, C Duan, MG Taylor, F Liu, AH Steeves… - Chemical …, 2021 - ACS Publications
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 …

Carbon nanodots from an in silico perspective

F Mocci, L de Villiers Engelbrecht, C Olla… - Chemical …, 2022 - ACS Publications
Carbon nanodots (CNDs) are the latest and most shining rising stars among
photoluminescent (PL) nanomaterials. These carbon-based surface-passivated …

Understanding the role of removable solid additives: Selective interaction contributes to vertical component distributions

B Fan, W Zhong, W Gao, H Fu, FR Lin… - Advanced …, 2023 - Wiley Online Library
Sequentially deposited organic solar cells (SD‐OSCs) have attracted great attention owing
to their ability in achieving a more favorable, vertically phase‐separated morphology to …