Synergistic optimization of flow field and operating parameters for hydrogen fuel cells based on neural networks

ZENG Detai; DUAN Chenpeng; FENG Pengfei

doi:10.3969/j.issn.1002-087X.2026.05.024

ZENG Detai, DUAN Chenpeng, FENG Pengfei

Chinese Journal of Power Sources ›› 2026, Vol. 50 ›› Issue (5) : 974-983.

PDF(8433 KB)

Chinese Journal of Power Sources ›› 2026, Vol. 50 ›› Issue (5) : 974-983. DOI: 10.3969/j.issn.1002-087X.2026.05.024

Research and design: Chemicalpower sources

Synergistic optimization of flow field and operating parameters for hydrogen fuel cells based on neural networks

{{article.zuoZhe_EN}}

Author information +

History +

HeighLight

Abstract

Key words

QR code of this article

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations

{{article.zuoZheEn_L}}. {{article.title_en}}[J]. {{journal.qiKanMingCheng_EN}}, 2026, 50(5): 974-983 https://doi.org/10.3969/j.issn.1002-087X.2026.05.024

References

List( Publishing order | Descend order by publishing year | Descend order by cited within ) Chart analysis

References

Funding

RIGHTS & PERMISSIONS

PDF(8433 KB)

Accesses

Citation

Detail

Sections

Recommended

Received	Published
2025-12-29	2026-05-20
Issue Date
2026-05-20

Please choose a citation manager

Content to export