April 2024

Prime-performance and sturdy anion-exchange membrane water electrolysers with high-molecular-weight polycarbazole-based anion-conducting polymer

Energy Environ. Sci., 2024, Advance ArticleDOI: 10.1039/D4EE01003E, Paper Sungjun Kim, Seok Hwan Yang, Sang-Hun Shin, Hye Jin Cho, Jung Kyu Jang, Tae Hoon Kim, Seong-Geun Oh, Tae-Ho Kim, HyukSu Han, Jang Yong LeeDevelopment of high-performance and durable anion-exchange membrane water electrolysis enabled by chain-extender derived high-molecular-weight

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A reproducibility learn about of atomistic line graph neural networks for fabrics assets prediction

Digital Discovery, 2024, Accepted ManuscriptDOI: 10.1039/D4DD00064A, Paper Open Access &nbsp This article is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported Licence. Kangming Li, Brian DeCost, Kamal Choudhary, Jason Hattrick-SimpersUse of machine learning has been increasingly popular in materials science as data-driven materials discovery is

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