Machine learning in energy storage materials
Abstract With its extremely strong capability of data analysis, machine learning has shown versatile potential in the revolution of the materials research paradigm. Here, taking dielectric capacitors and lithium‐ion batteries as two representative examples, we review substantial advances of machine...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-04-01
|
| Series: | Interdisciplinary Materials |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/idm2.12020 |