22 citations · 54 across the 7 of their papers we have counts for
7 papers
High Purcell enhancement in all-TMDC nanobeam resonator designs with active monolayers for nanolasers
Felix Binkowski, Aris Koulas-Simos, Fridtjof Betz +9
We propose a nanobeam resonator incorporating an active monolayer, designed to achieve a high Purcell enhancement. The resonator is fully composed of transition-metal-dichalcogenid…
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…
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…
High-performance designs for fiber-pigtailed quantum-light sources based on quantum dots in electrically-controlled circular Bragg gratings
Lucas Rickert, Fridtjof Betz, Matthias Plock +2
We present a numerical investigation of directly fiber-coupled hybrid circular Bragg gratings (CBGs) featuring electrical control for operation in the application relevant waveleng…
'Sawfish' Photonic Crystal Cavity for Near-Unity Emitter-to-Fiber Interfacing in Quantum Network Applications
Julian M. Bopp, Matthias Plock, Tim Turan +3
Photon loss is one of the key challenges to overcome in complex photonic quantum applications. Photon collection efficiencies directly impact the amount of resources required for m…
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…