Scientists Utilize Artificial Intelligence to Develop Innovative Battery

Scientists Utilize Artificial Intelligence to Develop Innovative Battery



In the hunt for new materials, scientists have traditionally relied⁢ on tinkering in the lab, guided by intuition,⁣ with a hefty serving of ‍trial and error.
Calculations winnowed down more than 32 million candidate ⁣materials⁢ to just⁤ 23⁢ promising options, researchers‍ from Microsoft and ‌Pacific ⁤Northwest National Laboratory,⁣ or PNNL,⁢ report in a paper submitted January‍ 8 ​to arXiv.org. The team then synthesized and tested ⁣one of those materials ⁣and created a working battery prototype.
While scientists ⁣have used AI to predict materials’ properties before, previous studies‍ typically haven’t seen that ‍process through to ​producing the new material. “The nice thing about this ​paper is⁢ that it‌ goes ​all the way from start to finish,” says​ computational ‍materials scientist Shyue Ping Ong of the University of California, San Diego, who was not involved with⁢ the‍ research.
The researchers‌ targeted a coveted type of battery material: a solid electrolyte. An electrolyte is a material that transfers ions — electrically ⁤charged atoms — back and forth between a battery’s electrodes.⁣ In standard lithium-ion‍ batteries, the electrolyte is a liquid. But⁢ that ⁣comes with hazards, like batteries⁣ leaking or causing fires. Developing batteries with solid electrolytes is a ⁢major‍ aim of materials scientists.

2024-01-16 07:00:00
Article from www.sciencenews.org

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