Artificial intelligence can dramatically accelerate the discovery of new battery materials by screening millions of candidates in hours rather than decades, as demonstrated by Microsoft and PNNL's AI model that screened 32 million battery compounds in 80 hours to find a solid-state electrolyte using 70% less lithium, addressing the critical bottleneck for electric vehicle and phone batteries.
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32 million battery materials screened in 80 hours ⚡ Microsoft and PNNL fed an AI every known battery本站添加:
32 million battery materials screened in 80 hours.
Finding a new battery material normally takes decades. Scientists test candidates one at a time. It's slow and expensive. Microsoft and the Pacific Northwest National Laboratory fed an AI model every known battery compound and asked it to find better solid-state electrolytes.
It screened 32 million candidates in 80 hours. That would have taken traditional research over a century.
The AI found a material that uses 70% less lithium. Lithium is the bottleneck for every electric car and phone battery on Earth. This single discovery could change the economics of the entire energy transition.
Follow for more AI facts about the future being built right now.
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