105 citations · 597 across the 30 of their papers we have counts for
30 papers
Fabrication uncertainty guided design optimization of a photonic crystal cavity by using Gaussian processes
Matthias Plock, Felix Binkowski, Lin Zschiedrich +2
We present a fabrication uncertainty aware and robust design optimization approach that can be used to obtain robust design estimates for nonlinear, nonconvex, and expensive model…
Forward simulation of coherent beams on grating structures for coherent scatterometry
Martin Hammerschmidt, Lin Zschiedrich, Lauryna Siaudinyté +3
Modelling the scattering of focused, coherent light by nano-scale structures is oftentimes used to reconstruct or infer geometrical or material properties of structures under inves…
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…
Optimized diamond inverted nanocones for enhanced color center to fiber coupling
Cem Güney Torun, Philipp-Immanuel Schneider, Martin Hammerschmidt +3
Nanostructures can be used for boosting the light outcoupling of color centers in diamond; however, the fiber coupling performance of these nanostructures is rarely investigated. H…
Grazing incidence X-ray fluorescence based characterization of nanostructures for element sensitive profile reconstruction
Anna Andrle, Philipp Hönicke, Philipp Schneider +6
For the reliable fabrication of the current and next generation of nanostructures it is essential to be able to determine their material composition and dimensional parameters. Usi…
Shape- and element-sensitive reconstruction of periodic nanostructures with grazing incidence X-ray fluorescence analysis and machine learning
Anna Andrle, Philipp Hönicke, Grzegorz Gwalt +4
The characterization of nanostructured surfaces with sensitivity in the sub-nm range is of high importance for the development of current and next generation integrated electronic…
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…
Efficient Bayesian inversion for shape reconstruction of lithography masks
Nando Farchmin, Martin Hammerschmidt, Philipp-Immanuel Schneider +4
Background: Scatterometry is a fast, indirect and non-destructive optical method for quality control in the production of lithography masks. To solve the inverse problem in complia…
Plug&play fibre-coupled 73 kHz single-photon source operating in the telecom O-band
Anna Musial, Kinga Zolnacz, Nicole Srocka +18
A user-friendly fibre-coupled single-photon source operating at telecom wavelengths is a key component of photonic quantum networks providing long-haul ultra-secure data exchange.…
An efficient approach to global sensitivity analysis and parameter estimation for line gratings
Nando Farchmin, Martin Hammerschmidt, Philipp-Immanuel Schneider +4
Scatterometry is a fast, indirect and nondestructive optical method for the quality control in the production of lithography masks. Geometry parameters of line gratings are obtaine…
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…
Role of Geometric Shape in Chiral Optics
Philipp Gutsche, Xavier Garcia-Santiago, Philipp-Immanuel Schneider +3
The distinction of chiral and mirror symmetric objects is straightforward from a geometrical point of view. Since the biological as well as the optical activity of molecules strong…
Enhanced photon-extraction efficiency from InGaAs/GaAs quantum dots in deterministic photonic structures at 1.3 μm fabricated by in-situ electron-beam lithography
Nicole Srocka, Anna Musiał, Philipp-Immanuel Schneider +8
The main challenge in the development of non-classical light sources remains their brightness that limits the data transmission and processing rates as well as the realization of p…
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.…
Chiral scatterers designed by Bayesian optimization
Philipp Gutsche, Philipp-Immanuel Schneider, Sven Burger +1
The helicity or chirality of scattered light is strongly linked to the dual symmetry of the scatterer. The latter depends on chiral materials or on scatterers which are not superim…
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…
Inelastic Confinement-Induced Resonances in Quantum Dots
Maria Troppenz, Simon Sala, Philipp-Immanuel Schneider +1
Recently, it was shown that the coupling of center-of-mass and relative motion in atomic systems leads to inelastic confinement-induced resonances (ICIRs) [Phys. Rev. Lett. 109, 07…
Two-channel Bose-Hubbard model of atoms at a Feshbach resonance
Philipp-Immanuel Schneider, Alejandro Saenz
Based on the analytic model of Feshbach resonances in harmonic traps described in Phys. Rev. A 83, 030701 (2011) a Bose-Hubbard model is introduced that provides an accurate descri…
Non-perturbative theoretical description of two atoms in an optical lattice with time-dependent perturbations
Philipp-Immanuel Schneider, Sergey Grishkevich, Alejandro Saenz
A theoretical approach for a non-perturbative dynamical description of two interacting atoms in an optical lattice potential is introduced. The approach builds upon the stationary…