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Peiyun Yi

Shanghai Jiao Tong University (SJTU) - Shanghai Key Laboratory of Digital Manufacture for Thin-walled Structures

SCHOLARLY PAPERS

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Scholarly Papers (2)

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1.

Deciphering Degradation in Porous Transport Layer-based HO- PEMFCs: Insights from 6600-Cycle Operando Durability Tests

Number of pages: 23 Posted: 13 Jan 2026
Zhonghao Zhang, Shoudeng Wang, Yichen Shao, Diankai Qiu, Peiyun Yi and Linfa Peng
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Shanghai Jiao Tong University (SJTU) - Shanghai Key Laboratory of Digital Manufacture for Thin-walled Structures, Shanghai Jiao Tong University (SJTU) - Shanghai Key Laboratory of Digital Manufacture for Thin-walled Structures and Shanghai Jiao Tong University (SJTU) - Shanghai Key Laboratory of Digital Manufacture for Thin-walled Structures
Downloads 18 (1,500,778)

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HO-PEMFCs, porous transport layer, 6, 600-cycle operando durability test, degradation mechanisms, membrane electrode assembly

2.

Predicting the electrical conductivity of doped TiO2 via machine learning with special attention enhancement on first principle featuring data

Number of pages: 43 Posted: 28 Apr 2026
Deru Wei, Hu Sun, Zhutian Xu, Diankai Qiu, Peiyun Yi and Linfa Peng
affiliation not provided to SSRN, affiliation not provided to SSRN, Shanghai Jiao Tong University (SJTU) - Shanghai Key Laboratory of Digital Manufacture for Thin-walled Structures, Shanghai Jiao Tong University (SJTU) - Shanghai Key Laboratory of Digital Manufacture for Thin-walled Structures, Shanghai Jiao Tong University (SJTU) - Shanghai Key Laboratory of Digital Manufacture for Thin-walled Structures and Shanghai Jiao Tong University (SJTU) - Shanghai Key Laboratory of Digital Manufacture for Thin-walled Structures
Downloads 14 (1,526,714)

Abstract:

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machine learning, Small-data learning, Doped TiO2, Titanium Bipolar Plates, Electrical Conductivity