105 citations · 597 across the 30 of their papers we have counts for
10 papers · 1 filter
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…
Applying a Riesz-projection-based contour integral eigenvalue solver to compute resonance modes of a VCSEL
Lilli Kuen, Fridtjof Betz, Felix Binkowski +6
We investigate the calculation of resonance modes of a VCSEL with a Riesz projection eigenvalue solver. The eigenvalue solver is based on the principle of contour integration where…
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…
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…
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…
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…
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…
Benchmarking five global optimization approaches for nano-optical shape optimization and parameter reconstruction
Philipp-Immanuel Schneider, Xavier Garcia Santiago, Victor Soltwisch +3
Numerical optimization is an important tool in the field of computational physics in general and in nano-optics in specific. It has attracted attention with the increase in complex…
Numerical optimization of the extraction efficiency of a quantum-dot based single-photon emitter into a single-mode fiber
Philipp-Immanuel Schneider, Nicole Srocka, Sven Rodt +3
We present a numerical method for the accurate and efficient simulation of strongly localized light sources, such as quantum dots, embedded in dielectric micro-optical structures.…
Global optimization of complex optical structures using Baysian optimization based on Gaussian processes
P. -I. Schneider, X. Garcia Santiago, C. Rockstuhl +1
Numerical simulation of complex optical structures enables their optimization with respect to specific objectives. Often, optimization is done by multiple successive parameter scan…