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THOR AI Revolutionizes Material Discovery, 400x Faster Insights

3/17/2026

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Story summary
  • Researchers at The University of New Mexico and Los Alamos National Laboratory developed THOR AI.
  • THOR combines tensor network algorithms with machine learning to solve configurational integrals and PDEs.
  • The framework has been tested on various materials and is over 400 times faster than prior methods.
  • Duc Truong, lead author at The University of New Mexico and Los Alamos National Laboratory, states THOR enables faster discoveries and deeper insights.