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Machine learning-assisted prediction and optimization of solid oxide electrolysis cell for green hydrogen production

Crossref DOI link: https://doi.org/10.1016/j.gce.2024.04.004

Published Print: 2025-06

Update policy: https://doi.org/10.1016/elsevier_cm_policy

Authors

Yang, Qingchun

Zhao, Lei

Xiao, Jingxuan

Wen, Rongdong

Zhang, Fu

Zhang, Dawei
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (22108052)

National Natural Science Foundation of China (HCHC202309)
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Text and Data Mining valid from 2025-06-01

Text and Data Mining valid from 2025-06-01

Version of Record valid from 2024-04-30
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This article is maintained by: Elsevier

Article Title: Machine learning-assisted prediction and optimization of solid oxide electrolysis cell for green hydrogen production

Journal Title: Green Chemical Engineering

CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.gce.2024.04.004

Content Type: article

Copyright: © 2024 Institute of Process Engineering, Chinese Academy of Sciences. Publishing services by Elsevier B.V. on behalf of KeAi Communication Co. Ltdé