AI in material science: Opportunities with cloud labs and simulation
JacquesThibs · x · 2026-08-23
A former physicist discussed the potential of AI in material science, noting that discovery speed depends on literature maturity, robotic manipulability, and reliance on experimentation. Combining lit review, simulation, and active learning can drastically shorten the search space. While previously deprioritized due to a weak safety narrative, the intersection of cloud labs (like Emerald Cloud Lab) and automation remains a significant opportunity.
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