The U.S. Department of Energy’s Argonne National Laboratory is working to use machine learning and artificial intelligence to build a better battery.
Should the DOE’s efforts prove fruitful, it could be a positive development for the medical device industry, where batteries have proven to be a technological stumbling block when it comes to device miniaturization.
Argonne researchers created a database of approximately 133,000 small organic molecules that could form the basis of battery electrolytes with a computationally intensive model called G4MP2, which represents 166 billion larger molecules that scientists wanted to probe for electrolyte candidates, according to a news release.
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