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 …

Material design for photocatalytic water splitting from a theoretical perspective

CF Fu, X Wu, J Yang - Advanced materials, 2018 - Wiley Online Library
Currently, problems associated with energy and environment have become increasingly
serious. Producing hydrogen, a clean and renewable resource, through photocatalytic water …

On the origin of multihole oxygen evolution in haematite photoanodes

G Righi, J Plescher, FP Schmidt, RK Campen… - Nature Catalysis, 2022 - nature.com
The oxygen evolution reaction (OER) plays a crucial role in (photo) electrochemical devices
that use renewable energy to produce synthetic fuels. Recent measurements on …

Modeling Single‐Atom Catalysis

G Di Liberto, G Pacchioni - Advanced Materials, 2023 - Wiley Online Library
Electronic structure calculations represent an essential complement of experiments to
characterize single‐atom catalysts (SACs), consisting of isolated metal atoms stabilized on a …

Work Function of TiO2 (Anatase, Rutile, and Brookite) Single Crystals: Effects of the Environment

V Mansfeldova, M Zlamalova… - The Journal of …, 2021 - ACS Publications
Electrochemical impedance spectroscopy, photoelectron spectroscopy, and Kelvin probe
measurements on various TiO2 single-crystal surfaces show that the position of the Fermi …

Incorporating long-range physics in atomic-scale machine learning

A Grisafi, M Ceriotti - The Journal of chemical physics, 2019 - pubs.aip.org
The most successful and popular machine learning models of atomic-scale properties derive
their transferability from a locality ansatz. The properties of a large molecule or a bulk …

[HTML][HTML] When do short-range atomistic machine-learning models fall short?

S Yue, MC Muniz, MF Calegari Andrade… - The Journal of …, 2021 - pubs.aip.org
We explore the role of long-range interactions in atomistic machine-learning models by
analyzing the effects on fitting accuracy, isolated cluster properties, and bulk thermodynamic …

Experimental Strategy and Mechanistic View to Boost the Photocatalytic Activity of Cs3Bi2Br9 Lead‐Free Perovskite Derivative by g‐C3N4 Composite Engineering

L Romani, A Speltini, CN Dibenedetto… - Advanced Functional …, 2021 - Wiley Online Library
The rational design of heterojunctions based on metal halide perovskites (MHPs) is an
effective route to create novel photocatalysts to run relevant solar‐driven reactions. In this …

Theoretical insights into the surface physics and chemistry of redox-active oxides

R Rousseau, VA Glezakou, A Selloni - Nature Reviews Materials, 2020 - nature.com
Redox-active oxides find use in many applications, including catalysts, photovoltaic devices,
self-cleaning glasses, chemical sensors and electronic components. Their utility derives …

Engineering 2D materials for photocatalytic water-splitting from a theoretical perspective

M Jakhar, A Kumar, PK Ahluwalia, K Tankeshwar… - Materials, 2022 - mdpi.com
Splitting of water with the help of photocatalysts has gained a strong interest in the scientific
community for producing clean energy, thus requiring novel semiconductor materials to …