Through AI technology, Microsoft has reduced a 20-year screening task to just 80 hours, which is expected to reduce the use of lithium in batteries by 70%

According to news on January 10, Microsoft and the Pacific Northwest National Laboratory (PNNL) collaborated to use the power of AI to identify new materials that can be used in batteries to reduce the use of lithium metal by up to 70%.

Photo source: Microsoft

Existing lithium batteries are prone to overheating and catching fire, and the extraction process requires a large amount of water and energy, so it is harmful to the environment Negative impact.

Microsoft and PNNL used artificial intelligence to sift through 32 million potential materials and narrow the list down to 23, five of which were known materials, within 80 hours. The team stated that if they had used traditional methods to obtain these materials, the process would have taken more than twenty years.

Krysta Svore, head of the Microsoft Quantum Redmond (QuArC) group at Microsoft Research, said:

We need to compress the next 250 years of chemical materials science into the future 20 years, right? This is because we want to save our planet. As can be seen from these results, the combination of artificial intelligence and high-performance computing can accelerate scientific discovery.

#The most important thing is that we accelerate the speed at which we acquire new ideas and new materials, said physical chemist Karl Mueller, director of PNNL’s Program Development Office. If we can realize this acceleration, I believe this is the inevitable way to find such materials in the future.

This site learned from reports that this candidate material is simply called

N2116. It is a solid electrolyte with a low risk factor and is not easy to burst and cause fire. .

Pacific Northwest National Laboratory (PNNL) materials scientist Dan Thien Nguyen is assembling a coin cell battery using a synthetic solid electrolyte. Source: Microsoft

Scientists are still studying the remaining 17 potential materials to find the best material to replace lithium metal. ######The team also leverages generative artificial intelligence and high-performance computing to make the process easier and faster. ###

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