US lab solves 100-year-old physics puzzle by cracking curse of dimensionality
SMRTR summary
THOR, an AI framework developed by Los Alamos and UNM scientists, uses tensor networks to solve the configurational integral problem, accelerating calculations up to 400 times faster than traditional methods, with applications in materials science and physics.
SMRTR provides this summary for quick context. The original article belongs to Interesting Engineering.
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