A preprint demonstrates that automatic differentiation plus gradient descent can reconstruct spatial profiles from magnetotransport data and perform reverse modeling of disordered lattices.
von Toussaint, Bayesian inference in physics, Rev
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Backsolution: A Framework for Solving Inverse Problems via Automatic Differentiation
A preprint demonstrates that automatic differentiation plus gradient descent can reconstruct spatial profiles from magnetotransport data and perform reverse modeling of disordered lattices.