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1Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States.
ACS Central Science
|July 9, 2026
Summary
A novel artificial intelligence agent extracts data from text and figures in lithium-metal-battery research. This technology accelerates scientific discovery by enabling literature to guide future research directions.
Area of Science:
- Materials Science
- Artificial Intelligence
- Electrochemistry
Background:
- Lithium-metal batteries (LMBs) are crucial for next-generation energy storage.
- Extracting comprehensive data from scientific literature is challenging and time-consuming.
- Automated methods are needed to accelerate the analysis of LMB research.
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