Machine learning assisted synthesis of lithium-ion batteries cathode materials
Optimizing synthesis parameters is crucial in fabricating an ideal cathode material; however, the design space is too vast to be fully explored using an Edisonian approach. Here, by clustering eleven domain-expert-derived-descriptors from literature, we use an inverse design surrogate model to build...
Main Authors: | , , , , , , , , , , , , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier Ltd
2022
|
Subjects: | |
Online Access: | View Fulltext in Publisher |