Machine Learning-Accelerated Exploration on Element Doping-Triggering Material Performance Improvement for Energy Conversion and Storage Applications DOI
Hao Wang, Y. S. Zhu, Jinliang Li

и другие.

Journal of Materials Chemistry A, Год журнала: 2025, Номер unknown

Опубликована: Янв. 1, 2025

The prediction performances of machine learning in the field element-doped materials for energy conversion and storage applications are summarized.

Язык: Английский

FeP nanoparticles anchored on N-doped carbon as ORR/OER bifunctional catalyst and its application in Zn-air batteries DOI

Yifei Su,

Hongmei Du, Jingjing Xu

и другие.

Fuel, Год журнала: 2025, Номер 387, С. 134349 - 134349

Опубликована: Янв. 11, 2025

Язык: Английский

Процитировано

1
Single‐Atom Co Meets Remote Fe for a Synergistic Boost in Oxygen Electrocatalysis DOI Creative Commons
Zongge Li, Wenjun Kang, Jingkai Lin

и другие.

Advanced Energy Materials, Год журнала: 2025, Номер unknown

Опубликована: Март 16, 2025

Abstract The oxygen electrocatalytic activity of transition metal catalysts can be tuned by tailoring their microstructure to optimize electronic configuration. Here, a one‐step Coordination‐Selective Synthesis strategy is developed integrate Co single‐atom sites and Fe‐based nanoparticles within the same matrix, enabling long‐range interactions that enhance Co‐N 4 reactivity improve reduction reaction performance. X‐ray absorption spectroscopy confirmed remote modulate electron distribution at sites. Structural characterizations reveal optimal catalyst, 50% Fe ‐NC, contains metallic Fe, 3 O , N species. Electrochemical measurements show it achieves onset half‐wave potentials 0.984 0.927 V versus RHE, surpassing 100% ‐NC with only Additionally, demonstrates efficient evolution performance, achieving an overpotential 298 mV 20 mA cm −2 comparable RuO 2 . Density functional theory calculations optimizes O‐containing intermediate adsorption/desorption, lowering theoretical overpotential. Zn‐air batteries assembled exhibited superior performance Pt/C, highlighting its potential for bifunctional electrocatalysis. This study provides approach designing high‐performance utilizing synergistic between atomic nanoscale

Язык: Английский

Процитировано

1
Carbon-loaded ordered PdZn alloys for efficient oxygen reduction in zinc–air batteries DOI
Wenjun Kang,

Jiabao Chen,

Yuanjie Zhang

и другие.

Journal of Alloys and Compounds, Год журнала: 2025, Номер unknown, С. 179887 - 179887

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0
Machine Learning-Accelerated Exploration on Element Doping-Triggering Material Performance Improvement for Energy Conversion and Storage Applications DOI
Hao Wang, Y. S. Zhu, Jinliang Li

и другие.

Journal of Materials Chemistry A, Год журнала: 2025, Номер unknown

Опубликована: Янв. 1, 2025

The prediction performances of machine learning in the field element-doped materials for energy conversion and storage applications are summarized.

Язык: Английский

Процитировано

0