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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 …
Material design for photocatalytic water splitting from a theoretical perspective
Currently, problems associated with energy and environment have become increasingly
serious. Producing hydrogen, a clean and renewable resource, through photocatalytic water …
serious. Producing hydrogen, a clean and renewable resource, through photocatalytic water …
On the origin of multihole oxygen evolution in haematite photoanodes
The oxygen evolution reaction (OER) plays a crucial role in (photo) electrochemical devices
that use renewable energy to produce synthetic fuels. Recent measurements on …
that use renewable energy to produce synthetic fuels. Recent measurements on …
Modeling Single‐Atom Catalysis
Electronic structure calculations represent an essential complement of experiments to
characterize single‐atom catalysts (SACs), consisting of isolated metal atoms stabilized on a …
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 …
measurements on various TiO2 single-crystal surfaces show that the position of the Fermi …
Incorporating long-range physics in atomic-scale machine learning
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 …
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?
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 …
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
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 …
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
Redox-active oxides find use in many applications, including catalysts, photovoltaic devices,
self-cleaning glasses, chemical sensors and electronic components. Their utility derives …
self-cleaning glasses, chemical sensors and electronic components. Their utility derives …
Engineering 2D materials for photocatalytic water-splitting from a theoretical perspective
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 …
community for producing clean energy, thus requiring novel semiconductor materials to …