微软携手太平洋西北国家实验室（PNNL）在新材料研发领域取得重大突破，利用人工智能（AI）的力量，他们成功地在短短80小时内完成了原本可能需要20年的筛选任务。这一创新性应用有望大幅减少电池中的锂金属使用量，降低至原来的30%。
在此次合作项目中，微软与PNNL面对3200万种潜在的材料进行筛选。借助AI的智能分析和高速处理能力，他们将庞大的候选列表快速精简至23种最具潜力的材料，其中还包括5种已知的材料。这一效率的提升是传统科研方法无法比拟的，如果采用传统方法，这一过程预计需要耗费数十年的时间。
这一发现不仅意味着电池制造成本的降低，同时也对环保产生积极影响，因为锂的开采和处理对环境有一定影响。减少锂的使用将有助于减轻环境负担，推动可持续能源的发展。微软和PNNL的这项研究展示了AI在科学研究中的巨大潜力，预示着未来更多领域的创新可能。
英语如下：
News Title: “AI’s Magical Touch! Microsoft and PNNL Team Up, Discover New Material in 80 Hours, Cut Lithium Use in Batteries by 70%!”
Keywords: AI, new material discovery, lithium reduction, Microsoft-PNNL collaboration
News Content: Microsoft and the Pacific Northwest National Laboratory (PNNL) have jointly made a groundbreaking advancement in materials research. Harnessing the power of Artificial Intelligence (AI), they successfully identified a potential material in just 80 hours, a task that could have taken 20 years using conventional methods. This innovation promises to decrease the use of lithium metal in batteries to 30% of its original amount.
In this collaborative project, Microsoft and PNNL screened through a staggering 32 million potential materials. With AI’s intelligent analysis and high-speed processing, they narrowed the massive candidate list down to 23 most promising materials, including 5 already known substances. This efficiency surpasses traditional research methods; it would have taken decades using conventional approaches.
This discovery not only signifies a reduction in battery manufacturing costs but also has positive environmental implications, as lithium mining and processing can impact the environment. Decreasing lithium usage will alleviate environmental stress and contribute to the advancement of sustainable energy. The Microsoft-PNNL study demonstrates the immense potential of AI in scientific research, foreshadowing future innovations across multiple sectors.
【来源】https://www.ithome.com/0/744/309.htm
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