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physics.comp-ph2021★ 5 cited
Recent advances in Bayesian optimization with applications to parameter reconstruction in optical nano-metrology
Matthias Plock, Sven Burger, Philipp-Immanuel Schneider
Parameter reconstruction is a common problem in optical nano metrology. It generally involves a set of measurements, to which one attempts to fit a numerical model of the measureme…
physics.comp-ph2021★ 32 cited
Bayesian optimization with improved scalability and derivative information for efficient design of nanophotonic structures
Xavier Garcia-Santiago, Sven Burger, Carsten Rockstuhl +1
We propose the combination of forward shape derivatives and the use of an iterative inversion scheme for Bayesian optimization to find optimal designs of nanophotonic devices. This…