{"id":41673,"date":"2024-01-10T10:48:12","date_gmt":"2024-01-10T10:48:12","guid":{"rendered":"https:\/\/www.innovationnewsnetwork.com\/?p=41673"},"modified":"2024-01-10T10:48:12","modified_gmt":"2024-01-10T10:48:12","slug":"ai-breakthrough-discovers-exciting-new-battery-material","status":"publish","type":"post","link":"https:\/\/www.innovationnewsnetwork.com\/ai-breakthrough-discovers-exciting-new-battery-material\/41673\/","title":{"rendered":"AI breakthrough discovers exciting new battery material"},"content":{"rendered":"

In a collaboration between Microsoft and the Pacific Northwest National Laboratory, scientists are testing a new battery material that was detected by an AI breakthrough.<\/h2>\n

Microsoft and the Pacific Northwest National Laboratory (PNNL) have reported the discovery of a new substance that could revolutionise the battery industry.<\/p>\n

The discovery, made by an AI breakthrough, is reported to reduce the reliance on lithium<\/a> for batteries by around 70%. This is a key advantage of the new technology, as the IEA has estimated that the world could face a shortage of the material as soon as 2025.<\/p>\n

Microsoft also believes that the discovery is a major breakthrough for AI, as the work has shown that the technology can be used for quick and transformative findings.<\/p>\n

The paper, \u2018Accelerating Computational Materials Discovery with Artificial Intelligence and Cloud high-performance Computing: from large-scale Screening to Experimental Validation<\/a>,\u2019 is published on arXiv.<\/p>\n

Microsoft\u2019s supercomputers have sped up the identification process<\/h3>\n

The new battery material was identified with Microsoft\u2019s Azure Quantum elements to screen 32 million potential inorganic elements. Following this, 18 promising candidates that could be used in battery development were discovered in just 80 hours.<\/p>\n

Previously, this screening process could have taken over two decades to complete using traditional research methods in the laboratory.<\/p>\n

Importantly, the AI breakthrough provides a new way to speed up solutions needed for current global challenges, whilst offering a glimpse into what the future holds for quantum computing.<\/p>\n

\u201cWe think there\u2019s an opportunity to do this across a number of scientific fields,\u201d said Brian Abrahamson, the chief digital officer at PNNL, in a new statement. \u201cRecent technology advancements have opened up the opportunity to accelerate scientific discovery.\u201d<\/p>\n

\u201cThe development of novel batteries is an incredibly important global challenge.<\/p>\n

\u201cIt has been a labour-intensive process. Synthesising and testing materials at a human scale is fundamentally limiting,\u201d Abrahamson continued.<\/p>\n