Long‐term stability challenges and opportunities in acidic oxygen evolution electrocatalysis

Q Wang, Y Cheng, HB Tao, Y Liu, X Ma… - Angewandte …, 2023 - Wiley Online Library
Polymer electrolyte membrane water electrolysis (PEMWE) has been regarded as a
promising technology for renewable hydrogen production. However, acidic oxygen evolution …

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 …

Implicit solvation methods for catalysis at electrified interfaces

S Ringe, NG Hormann, H Oberhofer… - Chemical Reviews, 2021 - ACS Publications
Implicit solvation is an effective, highly coarse-grained approach in atomic-scale simulations
to account for a surrounding liquid electrolyte on the level of a continuous polarizable …

2D materials bridging experiments and computations for electro/photocatalysis

X Zhang, A Chen, L Chen… - Advanced Energy Materials, 2022 - Wiley Online Library
The exploration of catalysts for energy conversion lies at the center of sustainable
development. The combination of experimental and computational approaches can provide …

Emerging Trends in Sustainable CO2‐Management Materials

Z Zhang, Y Zheng, L Qian, D Luo, H Dou… - Advanced …, 2022 - Wiley Online Library
With the rising level of atmospheric CO2 worsening climate change, a promising global
movement toward carbon neutrality is forming. Sustainable CO2 management based on …

Modeling of nanomaterials for supercapacitors: beyond carbon electrodes

S Bi, L Knijff, X Lian, A van Hees, C Zhang… - ACS nano, 2024 - ACS Publications
Capacitive storage devices allow for fast charge and discharge cycles, making them the
perfect complements to batteries for high power applications. Many materials display …

How machine learning can accelerate electrocatalysis discovery and optimization

SN Steinmann, Q Wang, ZW Seh - Materials Horizons, 2023 - pubs.rsc.org
Advances in machine learning (ML) provide the means to bypass bottlenecks in the
discovery of new electrocatalysts using traditional approaches. In this review, we highlight …

Targeted design of advanced electrocatalysts by machine learning

L Chen, X Zhang, A Chen, S Yao, X Hu… - Chinese Journal of …, 2022 - Elsevier
Exploring the production and application of clean energy has always been the core of
sustainable development. As a clean and sustainable technology, electrocatalysis has been …

Universal QM/MM approaches for general nanoscale applications

KS Csizi, M Reiher - Wiley Interdisciplinary Reviews …, 2023 - Wiley Online Library
Quantum mechanics/molecular mechanics (QM/MM) hybrid models allow one to address
chemical phenomena in complex molecular environments. Whereas this modeling approach …

In situ spectroelectrochemical probing of CO redox landscape on copper single-crystal surfaces

F Shao, JK Wong, QH Low… - Proceedings of the …, 2022 - National Acad Sciences
Electrochemical reduction of CO (2) to value-added chemicals and fuels is a promising
strategy to sustain pressing renewable energy demands and to address climate change …