Work

Accelerating the Prediction of g‐C 3 N 4 ‐Supported Dual‐Atom Catalysts for Photocatalytic CO 2 Reduction to CO and HCOOH: A Machine Learning and DFT Combined Approach

Year: 2025

Type: article

Source: Advanced Energy Materials

DOI: 10.1002/aenm.202503855

Authors: Yingmei Bian, Yanxin Wang, Zijun Yang, Zexiang Yin, Heng Zhao, Yuan Liu, Hainan Shi, Yaqiong Su, Yida Deng, Haozhi Wang

Institutions: Hainan University, Tianjin University, Liaoning Normal University, Xi'an Jiaotong University, Central South University, Nankai University, Fudan University, State Key Laboratory of Powder Metallurgy

Language: English

Topic: Advanced Photocatalysis Techniques

Subfield: Renewable Energy, Sustainability and the Environment

Field: Energy

Domain: Physical Sciences

SDGs: Affordable and clean energy, Climate action

Open Access status: closed

Funder: National Natural Science Foundation of China

Awards: G1909748227, G4200529478, G6836909280

OpenAlex ID: W4413357019

FWCI: 5.992

Cites: 41

Cited by: 43

Related to: 10