Can you reverse engineer our neural network?

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2月19日,中国科学院青岛能源研究所固态系统技术中心吴余涵、张舒、孙友龙、崔光磊、黄浪等人在《自然-通讯》(Nature Communications)发表论文Electrochemical initiation and chemical reaction cascades in dual-stage thermal runaway in sulfide-based all-solid-state batteries,报告他们综合运用加速量热、差示扫描量热与原位质谱联用技术,结合多尺度结构表征与第一性原理计算,首次揭示硫化物全固态电池热失控的真正“点火器”并非体相材料,而是正极与硫代磷酸盐固态电解质之间不稳定的化学界面。

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