Predicting the anion conductivities and alkaline stabilities of anion conducting membrane polymeric materials: development of explainable machine learning models-Reference-Cited by-同舟云学术

Predicting the anion conductivities and alkaline stabilities of anion conducting membrane polymeric materials: development of explainable machine learning models

Published:2023-10-16 Issue:1 Volume:24 Page:
ISSN:1468-6996
Container-title:Science and Technology of Advanced Materials
language:en
Short-container-title:Science and Technology of Advanced Materials

Author:

Phua Yin Kan¹^ORCID,Fujigaya Tsuyohiko¹²³^ORCID,Kato Koichiro¹³⁴^ORCID

Affiliation:

1. Department of Applied Chemistry, Graduate School of Engineering, Kyushu University, Fukuoka, Japan

2. International Institute for Carbon Neutral Energy Research, Kyushu University, Fukuoka, Japan

3. Center for Molecular Systems, Kyushu University, Fukuoka, Japan

4. Research Institute for Information Technology, Kyushu University, Fukuoka, Japan

Funder

ACT-X

Japan Science and Technology Agency

Japan Society for the Promotion of Science

Sato Yo International Scholarship Foundation

Publisher

Informa UK Limited

Subject

General Materials Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/14686996.2023.2261833

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1. Development and application of fuel cells in the automobile industry

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