Machine learning for membrane design and discovery

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外文摘要：Membrane technologies are becoming increasingly versatile and helpful today for sustainable development.Machine Learning(ML),an essential branch of artificial intelligence(AI),has substantially impacted the research and development norm of new materials for energy and environment.This review provides an overview and perspectives on ML methodologies and their applications in membrane design and dis-covery.A brief overview of membrane technologies is first provided with the current bottlenecks and potential solutions.Through an appli-cations-based perspective of AI-aided membrane design and discovery,we further show how ML strategies are applied to the membrane discovery cycle(including membrane material design,membrane application,membrane process design,and knowledge extraction),in various membrane systems,ranging from gas,liquid,and fuel cell separation membranes.Furthermore,the best practices of integrating ML methods and specific application targets in membrane design and discovery are presented with an ideal paradigm proposed.The challenges to be addressed and prospects of AI applications in membrane discovery are also highlighted in the end.

外文关键词：

Machine learningMembranesAI for MembraneData-drivenDesign

作者：

Haoyu Yin、Muzi Xu、Zhiyao Luo、Xiaotian Bi、Jiali Li、Sui Zhang、Xiaonan Wang

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作者单位：

Department of Chemical Engineering,Tsinghua University,100084,Beijing,China

School of Materials Science & Engineering,Tsinghua University,100084,Beijing,China

Department of Chemical and Biomolecular Engineering,National University of Singapore,Singapore,117576,Singapore

基金：

国家重点研发计划Singapore RIE2020 Advanced Manufacturing and Engineering Programmatic Grant by the Agency for Science,Technology and Researc清华大学自主科研项目Low Carbon Energy Research Funding Initiative by A*STAR

项目编号：

2022ZD0117501A1898b0043A-8000182-00-00

出版年：

2024

DOI：

10.1016/j.gee.2022.12.001

绿色能源与环境(英文)

CSTPCD

ISSN：

年,卷(期)：2024.9(1)

参考文献量134