A startup called Chemix is using AI to move faster. Inside a San Francisco Bay Area lab, glowing machines—which look a little like servers in a data center—physically test different battery chemistries. Then the company’s software platform, called Mix, uses the data to help design new versions for testing, speeding up the cycle of iteration.
“It’s suggesting new molecules for us to test on a daily basis,” says cofounder and CEO Kaixiang Lin, who previously worked on battery design as a doctoral student at Harvard, a postdoc at Stanford, and at another battery startup. “We call it battery R&D on autopilot, because there’s very little human intervention in this process.”
It takes the system about six months, he says, to design new batteries that can beat the performance of existing batteries on the market by an average of 300%.
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