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Human- and machine-centred designs of molecules and materials for sustainability and decarbonization

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Sokseiha Muy, Tian Xie
2022

Abstract

Data-driven approaches based on high-throughput capabilities and machine learning hold promise in revolutionizing human-centred materials discovery for sustainability and decarbonization. This Review examines the strengths and limitations of different traditional and emerging approaches to demonstrate their inherent connection and highlight the evolving paradigms of materials design.

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https://infoscience.epfl.ch/entities/publication/6bc3b650-69e3-48be-b608-f8cd569ae945

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