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20052023
most citedMagnetic metamaterials at telecommunication and visible frequencies

783 citations · 3.4k across the 97 of their papers we have counts for

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13 papers · 1 filter

physics.comp-ph2023

Impact Study of Numerical Discretization Accuracy on Parameter Reconstructions and Model Parameter Distributions

Matthias Plock, Martin Hammerschmidt, Sven Burger +2

In optical nano metrology numerical models are used widely for parameter reconstructions. Using the Bayesian target vector optimization method we fit a finite element numerical mod…

physics.comp-ph2022★ 12 cited

Computation of eigenfrequency sensitivities using Riesz projections for efficient optimization of nanophotonic resonators

Felix Binkowski, Fridtjof Betz, Martin Hammerschmidt +3

Resonances are omnipresent in physics and essential for the description of wave phenomena. We present an approach for computing eigenfrequency sensitivities of resonances. The theo…

physics.comp-ph2022

Bayesian Target-Vector Optimization for Efficient Parameter Reconstruction

Matthias Plock, Kas Andrle, Sven Burger +1

Parameter reconstructions are indispensable in metrology. Here, the objective is to to explain experimental measurements by fitting to them a parameterized model of the measure…

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…

physics.comp-ph2019★ 4 cited

Using Gaussian process regression for efficient parameter reconstruction

Philipp-Immanuel Schneider, Martin Hammerschmidt, Lin Zschiedrich +1

Optical scatterometry is a method to measure the size and shape of periodic micro- or nanostructures on surfaces. For this purpose the geometry parameters of the structures are obt…