[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 …
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 …
continuum electrostatics. Within quantum chemistry this formalism is sometimes …
Advances in molecular quantum chemistry contained in the Q-Chem 4 program package
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 …
q-Chem quantum chemistry program is provided, covering approximately the last seven …
Robust and efficient implicit solvation model for fast semiempirical methods
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 …
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 …
challenging, due in part to an incomplete atomistic understanding of the oxygen reduction …
Computational electrochemistry: prediction of liquid-phase reduction potentials
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 …
electrochemistry. Our focus is on predicting the reduction potentials of electron transfer and …
Explainable supervised machine learning model to predict solvation gibbs energy
Many challenges persist in develo** accurate computational models for predicting
solvation free energy (Δ G sol). Despite recent developments in Machine Learning (ML) …
solvation free energy (Δ G sol). Despite recent developments in Machine Learning (ML) …
Hybrid Electrolyte Design for High‐Performance Zinc–Sulfur Battery
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 …
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 …
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 …
standard approach in computational chemistry, is extensively applied by a broad range of …