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Microsoft accelerates new material screening through AI: 20-year task completed in 80 hours

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2024-01-14 16:27:09569browse

Microsoft and Pacific Northwest National Laboratory (PNNL) have joined forces to use artificial intelligence technology to successfully identify new materials suitable for batteries, which are expected to reduce the use of lithium metal by up to 70%.

Microsoft accelerates new material screening through AI: 20-year task completed in 80 hours

Microsoft

Existing lithium batteries are prone to overheating and catching fire, and the extraction process requires large amounts of water and energy, thus having a negative impact on the environment.

Microsoft and PNNL used artificial intelligence to screen 32 million potential materials and narrowed the shortlist to 23 within 80 hours, five of which were known materials. The team said it would have taken more than two decades to obtain the materials using traditional methods.

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 next 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.

Physical chemist Karl Mueller, director of the PNNL Project Development Office, said:

The most important thing is that we can get new ideas and new materials quickly. If we can realize this acceleration, I believe this will become a natural choice in the future search for such materials.

According to reports, IT House learned that this candidate material is referred to as N2116. It is a solid electrolyte that is relatively safe and not prone to explosions and fires.

Microsoft accelerates new material screening through AI: 20-year task completed in 80 hours

Pacific Northwest National Laboratory materials scientists are assembling coin cells with synthetic solid electrolytes Microsoft

Scientists are still studying the remaining 17 potential materials to find the best alternative to lithium metal.

The team also leverages generative artificial intelligence and high-performance computing to make the process easier and faster.

[Source: IT Home]

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