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GREYSTONE REPORT / Engineering Intelligence
Betting on AI and Robots to Automate Superconductor Discovery
Dozens of materials today outperform the world’s most common superconductor—niobium-titanium (NbTi). But no competing material can beat niobium-titanium’s capacity to be manufactured at scale and rolled out into usable wire. Two startups say that AI and robots could help close that gap. The San Francisco–based Periodic Labs and Cambridge, Mass.–based Quan…
Oct 02, 20263 min readTrend score 50
Greystone Report
Dozens of materials today outperform the world’s most common superconductor—niobium-titanium (NbTi). But no competing material can beat niobium-titanium’s capacity to be manufactured at scale and rolled out into usable wire. Two startups say that AI and robots could help close that gap. The San Francisco–based Periodic Labs and Cambridge, Mass.–based Quan…