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- W3200826440 endingPage "2104195" @default.
- W3200826440 startingPage "2104195" @default.
- W3200826440 abstract "Machine learning (ML) is a versatile technique to rapidly and efficiently generate insights from multidimensional data. It offers a much-needed avenue to accelerate the exploration and investigation of new materials to address time-sensitive global challenges such as climate change. The availability of large datasets in recent years has enabled the development of ML algorithms for various applications including experimental/device optimization and material discovery. This perspective provides a summary of the recent applications of ML in material discovery in a range of fields, from optoelectronics to batteries and electrocatalysis, as well as an overview of the methods behind these advances. The paper also attempts to summarize some key challenges and trends in current research methodologies." @default.
- W3200826440 created "2021-09-27" @default.
- W3200826440 creator A5019220629 @default.
- W3200826440 creator A5021387144 @default.
- W3200826440 creator A5023155921 @default.
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- W3200826440 creator A5065058975 @default.
- W3200826440 creator A5083810086 @default.
- W3200826440 creator A5086013200 @default.
- W3200826440 creator A5086790807 @default.
- W3200826440 date "2021-09-13" @default.
- W3200826440 modified "2023-10-12" @default.
- W3200826440 title "Applied Machine Learning for Developing Next‐Generation Functional Materials" @default.
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