MDLab: AI frameworks for carbon capture and battery materials

MDLab: AI frameworks for carbon capture and battery materials

There is a growing urgency to discover better materials that capture CO2 from air and improve battery performance. An important step is to search large databases of materials properties to find examples that resemble known carbon capture agents or electrolytes and then test them for effectiveness. T...

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Bibliographic Details
Main Authors: Bruce Elmegreen, Hendrik F. Hamann, Benjamin Wunsch, Theodore Van Kessel, Binquan Luan, Tonia Elengikal, Mathias Steiner, Rodrigo Neumann Barros Ferreira, Ricardo Luis Ohta, Felipe Lopes Oliveira, James L. McDonagh, Breanndan O’Conchuir, Stamatia Zavitsanou, Alexander Harrison, Flaviu Cipcigan, Geeth de Mel, Young-Hye La, Vidushi Sharma, Dmitry Yu Zubarev
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-08-01
Series:Frontiers in Environmental Science
Subjects:
carbon capture
chemical informatics
amines
computational chemistry
nanoporous materials
electrolytes
Online Access:https://www.frontiersin.org/articles/10.3389/fenvs.2023.1204690/full

Internet

https://www.frontiersin.org/articles/10.3389/fenvs.2023.1204690/full

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