Chemistry-Informed Machine Learning for Polymer Electrolyte Discovery

Chemistry-Informed Machine Learning for Polymer Electrolyte Discovery

Solid polymer electrolytes (SPEs) have the potential to improve lithium-ion batteries by enhancing safety and enabling higher energy densities. However, SPEs suffer from significantly lower ionic conductivity than liquid and solid ceramic electrolytes, limiting their adoption in functional batteries...

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Bibliographic Details
Main Authors: Bradford, Gabriel, Lopez, Jeffrey, Ruza, Jurgis, Stolberg, Michael A., Osterude, Richard, Johnson, Jeremiah A., Gomez-Bombarelli, Rafael, Shao-Horn, Yang
Other Authors: Massachusetts Institute of Technology. Department of Materials Science and Engineering
Format: Article
Language:English
Published: American Chemical Society 2024
Online Access:https://hdl.handle.net/1721.1/154286

Internet

https://hdl.handle.net/1721.1/154286

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