标题：微软与PNNL联手，AI技术助力发现新型材料，电池锂用量或将减少70%
微软和太平洋西北国家实验室（PNNL）近日宣布，他们已经成功利用人工智能（AI）技术，在短短80小时内筛选出了20年的候选材料名单，并最终确定出23种可能的新材料。这一突破性的发现，有望使电池中的锂使用量减少70%。
这项研究的背后，是微软和PNNL对人工智能技术的深度应用。他们借助AI的力量，从海量的可能性中筛选出最有潜力的材料，这些材料有可能被应用在电池制造中。如果采用传统的方法，这个过程可能需要二十多年的时间。
“我们的目标是找到一种更可持续、更环保的电池技术。”微软的一位发言人表示，“通过使用AI技术，我们可以在短时间内处理大量的信息，这大大提高了我们的工作效率。”
据悉，如果这种新的电池技术能够成功研发并投入使用，那么它将会大大减少电池制造过程中对锂金属的需求，从而降低电池的成本，同时也有助于保护环境。
这项研究的成果已经发表在《自然》杂志上。微软和PNNL的合作，再次证明了AI技术在科学研究领域的巨大潜力。
英语如下：
Title: Microsoft and PNNL Collaborate to Use AI to Discover New Materials, Reduce Lithium Usage by 70% in Batteries
Keywords: AI screening, new materials, reduced lithium usage in batteries
Content:
Title: Microsoft and PNNL Join Forces with AI Technology to Discover New Materials, Potentially Reducing Lithium Usage in Batteries by 70%
Microsoft and the Pacific Northwest National Laboratory (PNNL) have recently announced a breakthrough achievement in their joint effort to harness artificial intelligence (AI) technology. Within just 80 hours, they screened out a list of potential candidates for new materials that could be used in battery manufacturing for up to two decades. This resulted in the identification of 23 potentially new materials. This groundbreaking discovery is expected to reduce the usage of lithium in batteries by up to 70%.
Behind this research is the deep application of AI technology by Microsoft and PNNL. By leveraging AI, they were able to sift through a vast amount of possibilities to identify the most promising materials that could be used in battery manufacturing. This process would have taken more than two decades using traditional methods.
“Our goal is to find a more sustainable and environmentally friendly battery technology,” said a spokesperson from Microsoft. “By using AI technology, we can process a large amount of information in a short period of time, greatly improving our work efficiency.”
It is reported that if this new battery technology can be successfully developed and put into use, it will significantly reduce the demand for lithium metal in the battery manufacturing process, thereby reducing the cost of batteries. It will also help protect the environment.
The results of this research have been published in the journal Nature. The collaboration between Microsoft and PNNL once again proves the tremendous potential of AI technology in scientific research.
【来源】https://www.ithome.com/0/744/309.htm
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