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[UNI-TECH NOW] KAIST AI Reduces Battery Experiments by Predicting Cathode Properties
7+ mon, 2+ week ago (606+ words) 동아사이언스 ■ KAIST announced on the 26th that a joint research team led by Professor Seung-Bum Hong and Professor Eun-Ae Cho from the Department of Materials Science and Engineering has developed a machine learning framework. This framework accurately predicts the particle size…...
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