Advanced Multifunctional Electrocatalysts: Integrating DFT and Machine Learning for OER, HER, and ORR Reactions DOI
Swetarekha Ram, Albert S. Lee, Seung‐Cheol Lee

и другие.

Chemistry of Materials, Год журнала: 2025, Номер unknown

Опубликована: Май 14, 2025

Язык: Английский

Modulating Selectivity and Stability of the Direct Seawater Electrolysis for Sustainable Green Hydrogen Production DOI Creative Commons
Dazhi Yao, Chun Liu, Yanzhao Zhang

и другие.

Materials Today Catalysis, Год журнала: 2025, Номер unknown, С. 100089 - 100089

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

1

New insights into the long-range interaction mechanism of nitrogen reduction DOI

Yumeng Cheng,

Wei Chen, Cheng He

и другие.

Journal of Energy Chemistry, Год журнала: 2025, Номер unknown

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0

Rational Design of Carbon‐Based Electrocatalysts for H2O2 Production by Machine Learning and Structural Engineering DOI
Rong Ma, Gao‐Feng Han, Li Feng

и другие.

Advanced Energy Materials, Год журнала: 2025, Номер unknown

Опубликована: Апрель 17, 2025

Abstract Electrochemical synthesis of hydrogen peroxide (H 2 O ) via two‐electron oxygen reduction reaction (2e − ORR) represents an economically viable alternative to conventional anthraquinone processes. While noble metal catalysts have dominated this field, carbon‐based materials are emerging as promising alternatives due their low cost, abundant reserves, and tunable properties. This mini‐review summarizes recent advances in computational methods, particularly the integration density functional theory (DFT) with machine learning (ML), accelerate rational design electrocatalysts by enabling rapid screening structure‐training predictions. Meanwhile, optimization strategies systematically investigated, focusing on four key aspects: atomic‐level heterochromatic doping, defect engineering, microenvironment control, morphological design. Despite significant progress achieving high selectivity activity, challenges remain scaling these for industrial applications. Moving H will require multidisciplinary efforts combining advanced situ characterization techniques, modeling, process engineering develop robust suitable diverse operating conditions.

Язык: Английский

Процитировано

0

Advanced Multifunctional Electrocatalysts: Integrating DFT and Machine Learning for OER, HER, and ORR Reactions DOI
Swetarekha Ram, Albert S. Lee, Seung‐Cheol Lee

и другие.

Chemistry of Materials, Год журнала: 2025, Номер unknown

Опубликована: Май 14, 2025

Язык: Английский

Процитировано

0