Work

Machine Learning Unveils Ce–O–Co Motifs in Perovskite with Lewis Acidic–Basic Microenvironment for Dual-Site Intramolecular Oxygen Evolution in Saline Water

Year: 2025

Type: article

Source: ACS Catalysis

DOI: 10.1021/acscatal.5c06762

Institutions: Xiamen University, Tan Kah Kee Innovation Laboratory, State Power Investment Corporation (China), Shenzhen University, Sichuan University, Wuhan University, King Saud University

Language: English

Topic: Electrocatalysts for Energy Conversion

Subfield: Renewable Energy, Sustainability and the Environment

Field: Energy

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: closed

Funders: National Natural Science Foundation of China, King Saud University, Science, Technology and Innovation Commission of Shenzhen Municipality, Fundamental Research Funds for the Central Universities

Awards: G1331552920, G182970831, G2767579676, G5106611306, G6141368159, G6201293284, G6493268104, G6608362327, G6830435747, G7702324839, G7707855273, G8187690549, G8666794985

OpenAlex ID: W4416830575

FWCI: 1.135

Cites: 55

Cited by: 8

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