Automatic differentiation through the Abeles reflectivity model gives exact gradients for neutron reflectometry, making Hamiltonian Monte Carlo and variational inference fast, practical alternatives to slow MCMC for thin-film uncertainty quantification.
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Towards real-time surrogate-free Bayesian inversion for neutron reflectometry
Automatic differentiation through the Abeles reflectivity model gives exact gradients for neutron reflectometry, making Hamiltonian Monte Carlo and variational inference fast, practical alternatives to slow MCMC for thin-film uncertainty quantification.