微软与太平洋西北国家实验室（PNNL）近日联手，借助人工智能技术，成功发现了一种具有突破性的电池新材料。这一成果有望大大降低电池中锂金属的使用量。
在过去，研究人员需要花费数十年的时间筛选出适用于电池的潜在材料。而此次，微软和PNNL通过人工智能技术，仅用了80小时就完成了这项任务。在这个过程中，他们筛选了3200万种潜在材料，并将名单缩小到了23种，其中有5种是已知材料。如果采用传统方法，这个过程将耗时至少20年。
这种突破性的成果不仅为电池行业带来了新的可能性，也为新材料的研究和开发提供了新的视角。在未来，我们可以期待更多由人工智能助力带来的科技进步。
英文翻译：
News Title: AI helps Microsoft break through battery material challenges
Keywords: Artificial Intelligence, Battery, New Materials
News Content:
Microsoft has recently joined forces with the Pacific Northwest National Laboratory (PNNL) to discover a groundbreaking battery material using artificial intelligence. This achievement could significantly reduce the amount of lithium metal used in batteries.
In the past, researchers needed to spend decades screening potential battery materials. However, this time, Microsoft and PNNL used artificial intelligence to complete the task in just 80 hours. During this process, they screened 32 million potential materials and narrowed the list to 23, including 5 known materials. If traditional methods were used, the process would take at least 20 years.
This groundbreaking achievement not only brings new possibilities to the battery industry but also provides a new perspective for the research and development of new materials. We can look forward to more technological advancements driven by artificial intelligence in the future.
【来源】https://www.ithome.com/0/744/309.htm
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