Multielement Magnesium-Based Alloys via Machine Learning Screening for Fuel Cell Bipolar Plates-Reference-Cited by-同舟云学术

Multielement Magnesium-Based Alloys via Machine Learning Screening for Fuel Cell Bipolar Plates

Published:2023-08-08 Issue:32 Volume:127 Page:16162-16174
ISSN:1932-7447
Container-title:The Journal of Physical Chemistry C
language:en
Short-container-title:J. Phys. Chem. C

Author:

Bai Xue¹²,Jiang Qi¹²,Lu Sen¹²,Song Pei¹²,Jia Zepeng¹²,Shan Pengyue¹²,Chen Yunjian¹²,Cui Hong¹²^ORCID,Feng Rong¹²,Liang Zhiyong¹²,Kang Qin¹²,Wang Yazhou³,Zhou Naigen³^ORCID,Yuan Hongkuan⁴^ORCID

Affiliation:

1. School of Mechanical Engineering, Shaanxi University of Technology, Hanzhong, Shaanxi 723001, China

2. Shaanxi Key Laboratory of Industrial Automation, Shaanxi University of Technology, Hanzhong, Shaanxi 723001, China

3. School of Physics and Materials Science, Nanchang University, Nanchang 330031, China

4. School of Physical Science and Technology, Southwest University, Chongqing 400715, China

Funder

Shaanxi University of Science and Technology

Scientific Research Plan Projects of Shaanxi Education Department

Natural Science Basic Research Program of Shaanxi Province

National Natural Science Foundation of China

Publisher

American Chemical Society (ACS)

Subject

Surfaces, Coatings and Films,Physical and Theoretical Chemistry,General Energy,Electronic, Optical and Magnetic Materials

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jpcc.3c03569

Reference50 articles.

1. Alternative Polymer Systems for Proton Exchange Membranes (PEMs)

2. A review of polymer electrolyte membrane fuel cells: Technology, applications, and needs on fundamental research

3. Bipolar plate materials for PEMFCs: A conductivity and stability study

4. Niobium doped amorphous carbon film on metallic bipolar plates for PEMFCs: First principle calculation, microstructure and performance

5. Metal bipolar plates for PEM fuel cell—A review

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Symbolic transform optimized convolutional neural network model for high-performance prediction and analysis of MXenes hydrogen evolution reaction catalysts;International Journal of Hydrogen Energy;2024-10

2. Heterojunction of MXenes and MN4–graphene: Machine learning to accelerate the design of bifunctional oxygen electrocatalysts;Journal of Colloid and Interface Science;2024-06

3. A brief review of machine learning-assisted Mg alloy design, processing, and property predictions;Journal of Materials Research and Technology;2024-05

4. https://2DMat.ChemDX.org: Experimental data platform for 2D materials from synthesis to physical properties;Digital Discovery;2024