An AI surrogate plus Bayesian inference maps neutron-scattering data into uncertainty over spin-Hamiltonian parameters and picks the next measurement angle that most reduces that uncertainty.
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Observation geometry for uncertainty-aware Hamiltonian inference and experimental design in quantum magnets
An AI surrogate plus Bayesian inference maps neutron-scattering data into uncertainty over spin-Hamiltonian parameters and picks the next measurement angle that most reduces that uncertainty.