微软和太平洋西北国家实验室（PNNL）利用人工智能技术，在80小时内完成了原本需要20年的材料筛选任务，成功识别出一种有望将电池中锂金属使用量最多减少70%的新材料。这一突破性进展是通过筛选3200万种潜在材料实现的，其中5种是已知材料。研究人员表示，如果使用传统方法，这个过程将耗时二十多年。
这项技术的发展为电池行业带来了巨大的变革，有望缓解全球对锂资源的需求压力。此外，随着人工智能在材料科学领域的应用日益广泛，未来可能还会出现更多具有突破性的新材料。
英文标题：AI Helps Microsoft Discover New Battery Material: Lithium Usage Reduced by 70%
关键词：AI，new battery material，lithium usage reduction
News content:
Utilizing artificial intelligence technology, Microsoft in collaboration with the Pacific Northwest National Laboratory (PNNL) accomplished a material screening task in just 80 hours that would have otherwise taken 20 years. They successfully identified a new material that could potentially reduce the usage of lithium metal in batteries by up to 70%. This groundbreaking advancement was achieved by screening 32 million potential materials, of which 5 are known. Researchers stated that if traditional methods were employed, the process would take over two decades.
This technology brings about a significant transformation to the battery industry and could alleviate the pressure on global lithium resources. Furthermore, with the increasing application of artificial intelligence in materials science, more groundbreaking materials may emerge in the future.
【来源】https://www.ithome.com/0/744/309.htm
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