Long‐term stability challenges and opportunities in acidic oxygen evolution electrocatalysis
Polymer electrolyte membrane water electrolysis (PEMWE) has been regarded as a
promising technology for renewable hydrogen production. However, acidic oxygen evolution …
promising technology for renewable hydrogen production. However, acidic oxygen evolution …
Theoretical modeling of electrochemical proton-coupled electron transfer
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 …
Implicit solvation methods for catalysis at electrified interfaces
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 …
to account for a surrounding liquid electrolyte on the level of a continuous polarizable …
2D materials bridging experiments and computations for electro/photocatalysis
The exploration of catalysts for energy conversion lies at the center of sustainable
development. The combination of experimental and computational approaches can provide …
development. The combination of experimental and computational approaches can provide …
Emerging Trends in Sustainable CO2‐Management Materials
With the rising level of atmospheric CO2 worsening climate change, a promising global
movement toward carbon neutrality is forming. Sustainable CO2 management based on …
movement toward carbon neutrality is forming. Sustainable CO2 management based on …
Modeling of nanomaterials for supercapacitors: beyond carbon electrodes
Capacitive storage devices allow for fast charge and discharge cycles, making them the
perfect complements to batteries for high power applications. Many materials display …
perfect complements to batteries for high power applications. Many materials display …
How machine learning can accelerate electrocatalysis discovery and optimization
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 …
discovery of new electrocatalysts using traditional approaches. In this review, we highlight …
Targeted design of advanced electrocatalysts by machine learning
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 …
sustainable development. As a clean and sustainable technology, electrocatalysis has been …
Universal QM/MM approaches for general nanoscale applications
Quantum mechanics/molecular mechanics (QM/MM) hybrid models allow one to address
chemical phenomena in complex molecular environments. Whereas this modeling approach …
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 …
strategy to sustain pressing renewable energy demands and to address climate change …