近期，微软与太平洋西北国家实验室（PNNL）合作，利用人工智能技术在材料科学领域取得突破性进展。通过AI算法，研究团队在短短80小时内筛选了3200万种潜在材料，最终锁定了23种新材料，其中5种为已知材料。这些新材料的应用有望在电池中减少70%的锂金属使用量，大大提升了电池效率和可持续性。这一成果在传统方法可能需要20多年才能实现，而AI的助力使得这一过程大幅加速。这一突破展示了人工智能在材料科学领域的巨大潜力，预示着一个更加高效和环保的未来。
Title: AI Accelerates New Material Discovery, Reducing Lithium Use in Batteries by 70%
Keywords: Artificial Intelligence, Material Science, Battery Technology
News content:
Recently, Microsoft collaborated with the Pacific Northwest National Laboratory (PNNL) to achieve a breakthrough in material science using artificial intelligence. AI algorithms enabled the research team to screen 32 million potential materials in just 80 hours, narrowing down the list to 23 new materials, 5 of which are known materials. The application of these materials could reduce the lithium metal usage in batteries by up to 70%, significantly improving battery efficiency and sustainability. This achievement, which would have taken more than 20 years using traditional methods, has been greatly accelerated by AI. This breakthrough demonstrates the immense potential of AI in material science, suggesting a more efficient and eco-friendly future.
【来源】https://www.ithome.com/0/744/309.htm
Views: 1