微软与太平洋西北国家实验室（PNNL）联手，借助人工智能技术，在80小时内完成了原本需要20年才能完成的电池新材料筛选任务。这一突破性进展或使电池中的锂金属使用量减少高达70%。
在这次合作中，微软和PNNL团队利用人工智能分析了3200万种潜在的材料，并迅速将候选名单缩小至23种，其中5种是已知材料。研究人员表示，如果使用传统方法，这个过程将至少耗时20多年。
这项技术的发展为电池行业带来巨大影响。随着全球对电池需求的增长，寻求高效、可持续的电池材料成为当务之急。AI的介入大幅缩短了新材料的研发周期，提高了研发效率，同时也降低了成本。
英文标题：AI-Assisted Microsoft Discovers New Battery Materials
Keywords：AI, Battery, New Materials
News content:
In a groundbreaking collaboration, Microsoft joined forces with the Pacific Northwest National Laboratory (PNNL) to harness the power of artificial intelligence (AI) in the screening of new battery materials. This partnership achieved in just 80 hours what would have otherwise taken 20 years, potentially reducing lithium usage in batteries by up to 70%.
During this initiative, the Microsoft and PNNL teams used AI to analyze 32 million potential materials, swiftly narrowing down the list to 23, with 5 being already known substances. Researchers noted that if traditional methods were employed, the process would have taken at least 20 years longer.
This development has significant implications for the battery industry. As the global demand for batteries continues to surge, finding efficient and sustainable materials is paramount. The intervention of AI significantly shortens the research and development cycle for new materials, enhancing efficiency and reducing costs.
【来源】https://www.ithome.com/0/744/309.htm
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