Application of machine-learning-based global optimization: potential-dependent co-electrosorbed structure and activity on the Pd(110) surface-Reference-Cited by-同舟云学术

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Application of machine-learning-based global optimization: potential-dependent co-electrosorbed structure and activity on the Pd(110) surface

Published:2022 Issue:31 Volume:24 Page:18523-18528
ISSN:1463-9076
Container-title:Physical Chemistry Chemical Physics
language:en
Short-container-title:Phys. Chem. Chem. Phys.

Author:

Wang Li-Yuan¹,Fang Ya-Hui¹^ORCID

Affiliation:

1. School of Chemical and Environmental Engineering, Shanghai Institute of Technology, Shanghai, 201418, China

Abstract

Electrodes can adsorb different reaction intermediates under electrochemical conditions, which in turn significantly affect their electrochemical performance.

Funder

National Natural Science Foundation of China

Publisher

Royal Society of Chemistry (RSC)

Subject

Physical and Theoretical Chemistry,General Physics and Astronomy

Link

http://pubs.rsc.org/en/content/articlepdf/2022/CP/D2CP01610A

Reference43 articles.

1. Nanoporous Palladium Hydride for Electrocatalytic N 2 Reduction under Ambient Conditions

2. Electrochemical absorption and oxidation of hydrogen on palladium alloys with platinum, gold and rhodium

3. Enhancing electrochemical ammonia synthesis on palladium nanorods through surface hydrogenation

4. Mechanism and Micro Kinetic Model for Electroreduction of CO2 on Pd/C: The Role of Different Palladium Hydride Phases

5. Nanostructured Metal Hydrides for Hydrogen Storage

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