AI powered, automated discovery of polymer membranes for carbon capture

Abstract The generation of molecules with artificial intelligence (AI) or, more specifically, machine learning (ML), is poised to revolutionize materials discovery. Potential applications range from development of potent drugs to efficient carbon capture and separation technologies. However, existin...

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Bibliographic Details
Main Authors: Ronaldo Giro, Hsianghan Hsu, Akihiro Kishimoto, Toshiyuki Hama, Rodrigo F. Neumann, Binquan Luan, Seiji Takeda, Lisa Hamada, Mathias B. Steiner
Format: Article
Language:English
Published: Nature Portfolio 2023-07-01
Series:npj Computational Materials
Online Access:https://doi.org/10.1038/s41524-023-01088-3