Harnessing explainable AI to adaptively design catalysts for lithium-sulfur batteries
The exploration of efficient catalysts for sluggish sulfur redox reactions is pivotal for advancing lithium-sulfur batteries but remains inefficient through trial-and-error approaches. In a recent Joule study, Zhou, Li, and colleagues proposed an explainable-AI-based approach to intelligently design...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-05-01
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| Series: | Patterns |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666389925001047 |
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