在科技领域的快速进步中，人工智能（AI）正成为推动创新的重要力量。据IT之家报道，微软公司携手太平洋西北国家实验室（PNNL）利用AI技术在材料科学领域取得了突破性进展。他们通过AI系统筛选出了3200万种潜在的新材料，并仅用80小时时间将这一浩大的名单缩小至23种，其中5种为已知材料。这一成果对比传统方法省去了二十多年的时间。
这项技术突破的关键在于，AI系统能够高效地识别和筛选出能够应用于电池制造，并有望将锂金属的使用量减少高达70%的新材料。在当前全球对锂电池需求日益增长的大背景下，这项技术的发展不仅能够提高电池的性能，还有助于缓解对稀有金属资源的压力，对环境保护亦有着重要意义。
据研究人员介绍，利用AI进行材料筛选的过程，是将大量的数据输入至AI系统中，通过机器学习算法分析物质的电子结构和其他关键特性，预测其在未来实际应用中的表现。这种方法大大提升了研究的效率和准确度。
在英文中，这则新闻的标题可以表述为：”AI-Assisted Microsoft Discovers New Material for Batteries: Reducing Lithium Usage by 70% in Just 80 Hours”. 关键词则可以概括为：”AI”, “Material Innovation”, “Lithium-ion Battery”.
英文新闻内容：
In the rapidly advancing realm of technology, artificial intelligence (AI) is emerging as a pivotal force driving innovation. As reported by IT Home, Microsoft in collaboration with the Pacific Northwest National Laboratory (PNNL) has achieved a significant breakthrough in the field of material science using AI technology. The AI system has identified 32 million potential new materials, narrowing down the list to 23 within just 80 hours, with 5 being already known materials. This achievement has saved decades compared to traditional methods.
The key technological breakthrough is the AI system’s ability to efficiently identify and screen materials that could be applied in battery manufacturing, potentially reducing the usage of lithium metal by up to 70%. In the context of the increasing global demand for lithium-ion batteries, this development not only enhances battery performance but also mitigates the pressure on rare metal resources and has significant implications for environmental protection.
Researchers indicate that the process of material screening with AI involves inputting a vast amount of data into the AI system, which uses machine learning algorithms to analyze the electronic structure and other critical properties of substances, predicting their performance in future real-world applications. This method significantly improves the efficiency and accuracy of research.
【来源】https://www.ithome.com/0/744/309.htm
Views: 1