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Learning to Resolve Neutron Resonances with Fully Convolutional Neural Networks
A preliminary study tests a fully convolutional neural network to detect neutron resonances in transmission spectra, finding high point-wise classification accuracy (93%) but poor generalization to unseen isotopes — highlighting feasibility but not readiness for deployment.
Aug 6, 2026
Exploring Structures in Physics Problems: Can AI Agents Discover Statistical Mechanical Mappings?
Researchers introduced StatMechBench-v0, a benchmark of six Ising-type physics problems, to test whether LLM-based AI agents can discover correct statistical mechanical mappings from raw partition functions—and found agents often pass numerical verification while misidentifying tractable model classes or underestimating computational complexity.
Jul 31, 2026