Deep Learning to Reveal the Distribution and Diffusion of Water Molecules in Fuel Cell Catalyst Layers.

Li, Gaoyang; Zhu, Yonghong; Guo, Yuting; Mabuchi, Takuya; Li, Dong; Huang, Shengfeng; Wang, Sirui; Sun, Haiyi; Tokumasu, Takashi

Li, Gaoyang; Zhu, Yonghong; Guo, Yuting; Mabuchi, Takuya; Li, Dong; Huang, Shengfeng; Wang, Sirui; Sun, Haiyi; Tokumasu, Takashi.

Afiliación

Li G; Institute of Fluid Science, Tohoku University, 2-1-1 Katahira, Aoba-ku, Sendai980-8577, Japan.
Zhu Y; School of Chemical Engineering, Northwest University, Xi'an710069Shaanxi, China.
Guo Y; Institute of Fluid Science, Tohoku University, 2-1-1 Katahira, Aoba-ku, Sendai980-8577, Japan.
Mabuchi T; Institute of Fluid Science, Tohoku University, 2-1-1 Katahira, Aoba-ku, Sendai980-8577, Japan.
Li D; Frontier Research Institute for Interdisciplinary Sciences, Tohoku University, 2-1-1 Katahira, Aoba-ku, Sendai, Miyagi980-8577, Japan.
Huang S; School of Chemical Engineering, Northwest University, Xi'an710069Shaanxi, China.
Wang S; Institute of Fluid Science, Tohoku University, 2-1-1 Katahira, Aoba-ku, Sendai980-8577, Japan.
Sun H; Graduate School of Engineering, Chiba University, 1-33, Yayoi-cho, Inage-ku, Chiba263-8522, Japan.
Tokumasu T; Institute of Fluid Science, Tohoku University, 2-1-1 Katahira, Aoba-ku, Sendai980-8577, Japan.

ACS Appl Mater Interfaces ; 15(4): 5099-5108, 2023 Feb 01.

Article en En | MEDLINE | ID: mdl-36652634

Palabras clave

catalyst layer; deep learning; diffusion coefficient; proton-exchange membrane fuel cell; water management

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Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: ACS Appl Mater Interfaces Asunto de la revista: BIOTECNOLOGIA / ENGENHARIA BIOMEDICA Año: 2023 Tipo del documento: Article

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