How Machine Learning Will Revolutionize Electrochemical Sciences

[Image: see text] Electrochemical systems function via interconversion of electric charge and chemical species and represent promising technologies for our cleaner, more sustainable future. However, their development time is fundamentally limited by our ability to identify new materials and understa...

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Detalles Bibliográficos
Autores principales: Mistry, Aashutosh, Franco, Alejandro A., Cooper, Samuel J., Roberts, Scott A., Viswanathan, Venkatasubramanian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2021
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8042659/
https://www.ncbi.nlm.nih.gov/pubmed/33869772
http://dx.doi.org/10.1021/acsenergylett.1c00194

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8042659/
https://www.ncbi.nlm.nih.gov/pubmed/33869772
http://dx.doi.org/10.1021/acsenergylett.1c00194

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