Descriptor-Driven Computational Design of Bifunctional Double-Atom Hydrogen Evolution and Oxidation Reaction Electrocatalysts for Rechargeable Hydrogen Gas Batteries

Rechargeable hydrogen gas batteries (RHGBs) have been attracting much attention as promising all-climate large-scale energy storage devices, which calls for low-cost and high-activity hydrogen evolution/oxidation reaction (HER/HOR) bifunctional electrocatalysts to replace the costly platinum-based catalysts. Based on density functional theory (DFT) computations, herein we report an effective descriptor-driven design principle to govern the HER/HOR electrocatalytic activity of double-atom catalysts (DACs) for RHGBs. We systematically investigate the d-band center variation of DACs and their correlations with HER/HOR free energies. We construct activity maps with the d-band center of DACs as a descriptor, which demonstrate that high HER/HOR electrocatalytic activity can be achieved with an appropriate d-band center of DACs. This work not only broadens the applicability of d-band center theory to the prediction of bifunctional HER/HOR electrocatalysts but also paves the way to fast screening and design of efficient and low-cost DACs to promote practical applications of RHGBs.

Medienart:

E-Artikel

Erscheinungsjahr:

2022

Erschienen:

2022

Enthalten in:

Zur Gesamtaufnahme - volume:22

Enthalten in:

Nano letters - 22(2022), 19 vom: 12. Okt., Seite 7860-7866

Sprache:

Englisch

Beteiligte Personen:

Liu, Zaichun [VerfasserIn]
Yang, Jinlong [VerfasserIn]
Wang, Faxing [VerfasserIn]
Yuan, Yuan [VerfasserIn]
Jiang, Taoli [VerfasserIn]
Zhu, Zhengxin [VerfasserIn]
Li, Ke [VerfasserIn]
Liu, Shuang [VerfasserIn]
Zhang, Kai [VerfasserIn]
Wang, Weiping [VerfasserIn]
Chuai, Mingyan [VerfasserIn]
Sun, Jifei [VerfasserIn]
Wu, Yuping [VerfasserIn]
Chen, Wei [VerfasserIn]

Links:

Volltext

Themen:

D-band center theory
Double-atom catalysts
HER/HOR electrochemistry
Journal Article
Large-scale energy storage
Rechargeable hydrogen gas batteries

Anmerkungen:

Date Revised 12.10.2022

published: Print-Electronic

Citation Status PubMed-not-MEDLINE

doi:

10.1021/acs.nanolett.2c02569

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM346823730