Electrode Informatics Accelerated Optimization for Catalyst Layer Key Parameters in Direct Methanol Fuel Cells DOI

Lishou Ban,

Danyang Huang,

Wenbo Liu

et al.

Nanoscale, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 11, 2024

Finite element simulation combined with machine learning surrogate model was constructed to accelerate power density prediction and evaluate the influence of catalyst layer parameters on maximum direct methanol fuel cells.

Language: Английский

A facile approach for synthesizing nitrogen-doped carbon supported circular trough-shaped FeCo alloy for the oxygen reduction reaction DOI
Kun Yang, Jing Liu, Bin Li

et al.

Chemical Communications, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

A nitrogen-doped carbon-supported circular trough-shaped FeCo alloy-based electrocatalyst (FeCo/NC) was synthesized by a simple-to-accomplish method. The unique alloy structure and rich Fe/Co-Nx-based active sites constructed during the pyrolysis process endowed FeCo/NC with comparable electrocatalytic ORR activity in both three-electrode system Zn-air batteries to that of previously reported catalysts.

Language: Английский

Citations

0
Enhanced Pt/C and PtCu/C electrocatalysts for improved oxygen reduction reaction in proton-exchange membrane fuel cells DOI
А. А. Алексеенко, Kirill Paperzh, Angelina Pavlets

et al.

Journal of Materials Science, Journal Year: 2025, Volume and Issue: unknown

Published: March 6, 2025

Language: Английский

Citations

0
Electrode Informatics Accelerated Optimization for Catalyst Layer Key Parameters in Direct Methanol Fuel Cells DOI

Lishou Ban,

Danyang Huang,

Wenbo Liu

et al.

Nanoscale, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 11, 2024

Finite element simulation combined with machine learning surrogate model was constructed to accelerate power density prediction and evaluate the influence of catalyst layer parameters on maximum direct methanol fuel cells.

Language: Английский

Citations

1