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

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 for high‐p...

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Detalles Bibliográficos
Autores principales: Mai, Haoxin, Le, Tu C., Chen, Dehong, Winkler, David A., Caruso, Rachel A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Reviews
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9798988/
https://www.ncbi.nlm.nih.gov/pubmed/36285802
http://dx.doi.org/10.1002/advs.202203899

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9798988/
https://www.ncbi.nlm.nih.gov/pubmed/36285802
http://dx.doi.org/10.1002/advs.202203899

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