[HTML][HTML] Software for the frontiers of quantum chemistry: An overview of developments in the Q-Chem 5 package

E Epifanovsky, ATB Gilbert, X Feng, J Lee… - The Journal of …, 2021 - pubs.aip.org
This article summarizes technical advances contained in the fifth major release of the Q-
Chem quantum chemistry program package, covering developments since 2015. A …

Dielectric continuum methods for quantum chemistry

JM Herbert - Wiley Interdisciplinary Reviews: Computational …, 2021 - Wiley Online Library
This review describes the theory and implementation of implicit solvation models based on
continuum electrostatics. Within quantum chemistry this formalism is sometimes …

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 …

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 …

Multilevel computational studies reveal the importance of axial ligand for oxygen reduction reaction on Fe–N–C materials

P Hutchison, PS Rice, RE Warburton… - Journal of the …, 2022 - ACS Publications
The systematic improvement of Fe–N–C materials for fuel cell applications has proven
challenging, due in part to an incomplete atomistic understanding of the oxygen reduction …

Computational electrochemistry: prediction of liquid-phase reduction potentials

AV Marenich, J Ho, ML Coote, CJ Cramer… - Physical Chemistry …, 2014 - pubs.rsc.org
This article reviews recent developments and applications in the area of computational
electrochemistry. Our focus is on predicting the reduction potentials of electron transfer and …

Explainable supervised machine learning model to predict solvation gibbs energy

J Ferraz-Caetano, F Teixeira… - Journal of Chemical …, 2023 - ACS Publications
Many challenges persist in develo** accurate computational models for predicting
solvation free energy (Δ G sol). Despite recent developments in Machine Learning (ML) …

Hybrid Electrolyte Design for High‐Performance Zinc–Sulfur Battery

Y Guo, R Chua, Y Chen, Y Cai, EJJ Tang, JJN Lim… - Small, 2023 - Wiley Online Library
Rechargeable aqueous Zn/S batteries exhibit high capacity and energy density. However,
the long‐term battery performance is bottlenecked by the sulfur side reactions and serious …

Pendant Hydrogen-Bond Donors in Cobalt Catalysts Independently Enhance CO2 Reduction

A Chapovetsky, M Welborn, JM Luna… - ACS central …, 2018 - ACS Publications
The bioinspired incorporation of pendant proton donors into transition metal catalysts is a
promising strategy for converting environmentally deleterious CO2 to higher energy …

Improved prediction of solvation free energies by machine-learning polarizable continuum solvation model

A Alibakhshi, B Hartke - Nature Communications, 2021 - nature.com
Theoretical estimation of solvation free energy by continuum solvation models, as a
standard approach in computational chemistry, is extensively applied by a broad range of …