Machine Learning in the Development of Adsorbents for Clean Energy Application and Greenhouse Gas Capture

Abstract Addressing climate change challenges by reducing greenhouse gas levels requires innovative adsorbent materials for clean energy applications. Recent progress in machine learning has stimulated technological breakthroughs in the discovery, design, and deployment of materials with potential f...

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Bibliographic Details
Main Authors: Haoxin Mai, Tu C. Le, Dehong Chen, David A. Winkler, Rachel A. Caruso
Format: Article
Language:English
Published: Wiley 2022-12-01
Series:Advanced Science
Subjects:
Online Access:https://doi.org/10.1002/advs.202203899