**微软和 PNNL 合作，借助 AI 力量识别出新材料，应用在电池中，最多可以减少 70% 的锂金属使用量**
微软和太平洋西北国家实验室（PNNL）合作，借助人工智能（AI）的力量识别出新材料，应用在电池中，最多可以减少 70% 的锂金属使用量。
锂金属是一种稀有金属，是电池的重要组成部分。然而，锂金属的价格昂贵，而且开采过程对环境有很大影响。因此，寻找新的电池材料，以减少对锂金属的依赖，成为了一项重要的研究课题。
微软和 PNNL 的研究团队使用人工智能来筛选潜在的电池材料。他们从 3200 万种潜在材料中，筛选出 23 种最有希望的材料。其中，有 5 种是已知材料，而另外 18 种是新发现的材料。
研究团队表示，如果使用传统方法来获取这些材料，这个过程将耗时二十多年。然而，借助人工智能，他们只用了 80 个小时就完成了这项任务。
研究团队目前正在对这些新材料进行进一步的研究，以确定它们在电池中的性能。他们希望，这些新材料能够在未来几年内应用于商业电池，从而减少对锂金属的依赖。
这项研究成果发表在《自然》杂志上。
**背景知识：**
* 锂金属是一种稀有金属，是电池的重要组成部分。
* 锂金属的价格昂贵，而且开采过程对环境有很大影响。
* 人工智能是一种计算机科学的领域，它试图了解智能的本质并产生新的智能。
* 人工智能可以用于解决各种各样的问题，包括材料科学、药物发现和金融预测。
**重要意义：**
* 这项研究成果表明，人工智能可以用于加速新材料的发现。
* 这项研究成果有望导致新电池材料的开发，从而减少对锂金属的依赖。
* 这项研究成果对材料科学、电池技术和人工智能领域都有重要意义。
英语如下：
**Headline: AI Helps Screen Battery Materials, Could Reduce Lithium Use by 70%**
**Keywords: Materials screening, Battery technology, Artificial intelligence**
**Article Body:**
**Microsoft and PNNL Collaborate to UseAI to Identify New Materials for Batteries That Could Reduce Lithium Metal Use by Up to 70 Percent**
Microsoft and the Pacific Northwest National Laboratory (PNNL) have collaborated to use the power of artificial intelligence (AI) to identify new materials for batteries that could reduce lithium metal use by up to 70percent.
Lithium metal is a rare metal that is a key component in batteries. However, lithium metal is expensive and its mining process has a significant environmental impact. As a result, finding new battery materials that reduce the reliance on lithium metal has become an important area of research.
The research team from Microsoft and PNNL used AI to screen potential battery materials. They screened 32 million potential materials and identified 23 of the most promising materials. Of these, five were known materials and 18 were newly discovered materials.
The research team said that if they had used traditional methods to screen these materials, it wouldhave taken more than two decades. However, using AI, they were able to complete the task in just 80 hours.
The research team is now conducting further research on these new materials to determine how well they perform in batteries. They hope that these new materials could be used in commercial batteries within the next few years, reducing the reliance on lithium metal.
The findings of the study were published in the journal Nature.
**Background Information:**
* Lithium metal is a rare metal that is a key component in batteries.
* Lithium metal is expensive and its mining process has a significant environmental impact.
* Artificial intelligence is a branch of computer science that seeks to understand the nature of intelligence and produce new intelligent entities.
* AI can be used to solve a wide variety of problems, including materials science, drug discovery, and financial forecasting.
**Significance:**
* This study demonstrates that AI can be used to accelerate the discovery of new materials.
* This study could lead to the development of new battery materials that reduce the reliance on lithium metal.
* This study has implications for the fields of materials science, battery technology, and artificial intelligence.
【来源】https://www.ithome.com/0/744/309.htm
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