Redox−Acid/Base Phase Diagrams as an Entry to Computational Redox Chemistry

Abstract The rapid depletion of fossil fuels and the change from conventional energy supply to so‐called sustainable and renewable energy sources have led to a renaissance of electrochemical, photochemical, and photoelectrochemical methods for chemical synthesis. While drastic experimental improvements have been realized in recent years, systematic computational studies of these types of reactions are, however, rather limited caused by a lack of suitable representations. Herein we present a generalized method to investigate and analyze a chemical system with respect to its redox‐ and acid/base‐properties based on Gibbs free‐energy differences. We represent the results in a clear manner by means of redox−acid/base phase diagrams. Motivated by computational needs, the presented method is a direct link between experimentally measurable values and Gibbs free‐energy profiles, connecting experiment and simulation. Thus, it serves as an entry to systematic computational studies of reactions, which involve a combination of electron transfers and acid/base‐chemical reaction steps, because it enables the representation of both thermodynamic and kinetic properties. The presented method is applied to four exemplary systems: Phenol, dicobaltocenium amine as a proton‐coupled electron transfer (PCET) reactant, and two porphyrin Ni II catalysts for the electrocatalytic hydrogen evolution reaction (HER).

Authors

Institutions

Publication Details

Journal
ChemElectroChem
Published
2024-10-02
DOI
https://doi.org/10.1002/celc.202400301
Citations
4
Primary Topic
Electrochemical Analysis and Applications
Type
article
Field-Weighted Citation Impact
0.69

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Redox−Acid/Base Phase Diagrams as an Entry to Computational Redox Chemistry

Katja Heinze, Biprajit Sarkar, Patrick Becker, Johannes Kästner
4 citations
ChemElectroChem
Electrochemical Analysis and Applications
0.69
article

Redox−Acid/Base Phase Diagrams as an Entry to Computational Redox Chemistry

Katja Heinze, Biprajit Sarkar, Patrick Becker, Johannes Kästner
article en
4 citations

Abstract

Abstract The rapid depletion of fossil fuels and the change from conventional energy supply to so‐called sustainable and renewable energy sources have led to a renaissance of electrochemical, photochemical, and photoelectrochemical methods for chemical synthesis. While drastic experimental improvements have been realized in recent years, systematic computational studies of these types of reactions are, however, rather limited caused by a lack of suitable representations. Herein we present a generalized method to investigate and analyze a chemical system with respect to its redox‐ and acid/base‐properties based on Gibbs free‐energy differences. We represent the results in a clear manner by means of redox−acid/base phase diagrams. Motivated by computational needs, the presented method is a direct link between experimentally measurable values and Gibbs free‐energy profiles, connecting experiment and simulation. Thus, it serves as an entry to systematic computational studies of reactions, which involve a combination of electron transfers and acid/base‐chemical reaction steps, because it enables the representation of both thermodynamic and kinetic properties. The presented method is applied to four exemplary systems: Phenol, dicobaltocenium amine as a proton‐coupled electron transfer (PCET) reactant, and two porphyrin Ni II catalysts for the electrocatalytic hydrogen evolution reaction (HER).

ChemElectroChemVol. 11(20)
University of Stuttgart (DE), Johannes Gutenberg University Mainz (DE)
Deutsche Forschungsgemeinschaft, Studienstiftung des Deutschen Volkes
Openalex Percentile: Top 37%
Electrochemical Analysis and Applications
0.69
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.