微软与太平洋西北国家实验室（PNNL）近日携手，利用人工智能技术在电池领域取得重大突破。通过筛选3200万种潜在材料，研究人员仅用80小时就将可行材料名单缩小至23种，其中5种为已知材料。这一成果有望在电池中最多减少70%的锂金属使用量。
传统的材料筛选过程耗时较长，采用人工智能技术后，原本需要20多年才能完成的工作现在仅需几十个小时。这一突破将极大地推动电池行业的发展，并为新能源领域带来更多可能性。
英文翻译：
News title: AI-powered Breakthrough in Battery Materials: Lithium Usage Reduced by 70%
Keywords: AI, battery, new materials
News content:
Microsoft and the Pacific Northwest National Laboratory (PNNL) have recently collaborated to make a significant breakthrough in the battery field using artificial intelligence (AI) technology. By screening 32 million potential materials, researchers have narrowed down the list of viable materials to 23, including 5 known materials. This achievement could potentially reduce lithium metal usage in batteries by up to 70%.
The traditional process of material screening takes much longer, but with the adoption of AI technology, the work that would normally take over 20 years can now be completed in just a few dozen hours. This breakthrough will greatly promote the development of the battery industry and bring more possibilities to the field of new energy.
【来源】https://www.ithome.com/0/744/309.htm
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