Theoretical modeling of electrochemical proton-coupled electron transfer
RE Warburton, AV Soudackov… - Chemical …, 2022 - ACS Publications
Proton-coupled electron transfer (PCET) plays an essential role in a wide range of
electrocatalytic processes. A vast array of theoretical and computational methods have been …
electrocatalytic processes. A vast array of theoretical and computational methods have been …
Computational discovery of transition-metal complexes: from high-throughput screening to machine learning
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 …
materials. The behavior of the metal–organic bond, while very tunable for achieving target …
Homogeneously catalyzed electroreduction of carbon dioxide—methods, mechanisms, and catalysts
R Francke, B Schille, M Roemelt - Chemical reviews, 2018 - ACS Publications
The utilization of CO2 via electrochemical reduction constitutes a promising approach
toward production of value-added chemicals or fuels using intermittent renewable energy …
toward production of value-added chemicals or fuels using intermittent renewable energy …
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 …
Holistic Prediction of the pKa in Diverse Solvents Based on a Machine‐Learning Approach
Q Yang, Y Li, JD Yang, Y Liu, L Zhang… - Angewandte …, 2020 - Wiley Online Library
While many approaches to predict aqueous pKa values exist, the fast and accurate
prediction of non‐aqueous pKa values is still challenging. Based on the iBonD experimental …
prediction of non‐aqueous pKa values is still challenging. Based on the iBonD experimental …
Gimlet: A unified graph-text model for instruction-based molecule zero-shot learning
Molecule property prediction has gained significant attention in recent years. The main
bottleneck is the label insufficiency caused by expensive lab experiments. In order to …
bottleneck is the label insufficiency caused by expensive lab experiments. In order to …
Current trends in computational quantum chemistry studies on antioxidant radical scavenging activity
M Spiegel - Journal of Chemical Information and Modeling, 2022 - ACS Publications
The antioxidative nature of chemicals is now routinely studied using computational quantum
chemistry. Scientists are constantly proposing new approaches to investigate those …
chemistry. Scientists are constantly proposing new approaches to investigate those …
Proton-coupled electron transfer in the electrocatalysis of CO 2 reduction: prediction of sequential vs. concerted pathways using DFT
AJ Göttle, MTM Koper - Chemical science, 2017 - pubs.rsc.org
Herein we investigate computationally in detail the mechanism of the formation of the
carboxylate adduct during the electroreduction of CO2 in water catalysed by cobalt …
carboxylate adduct during the electroreduction of CO2 in water catalysed by cobalt …
Self-Assembled Liposomes Enhance Electron Transfer for Efficient Photocatalytic CO2 Reduction
Light-driven conversion of CO2 to chemicals provides a sustainable alternative to fossil
fuels, but homogeneous systems are typically limited by cross reactivity between different …
fuels, but homogeneous systems are typically limited by cross reactivity between different …
Calculating free energy changes in continuum solvation models
We recently showed for a large data set of p K as and reduction potentials that free energies
calculated directly within the SMD continuum model compares very well with corresponding …
calculated directly within the SMD continuum model compares very well with corresponding …