We present Riesz projection based methods relying on contour integration for efficiently computing quasi-normal modes and modal expansions of near-field and far-field physical quantities. We use a finite-element method based implementation of these methods for the analysis of nanophotonic resonators for quantumoptics applications. We use Bayesian optimization methods for finding best geometry parameters yielding, e.g., resonators with maximized quality factor
We consider the problem of the construction of the nanophotonic structures of arbitrary geometry wit...
We present several modeling methods for the study of nanophotonic devices: a non-linear eigenmode ex...
The aim of this thesis is to develop a technique which can be used in the reliable modelling, design...
Many nanophotonic devices rely on the excitation of photonic resonances to enhance light-matter inte...
Determining the electromagnetic field response of photonic and plasmonic resonators is a formidable ...
Summary Data and source code relate to the article "Computation of eigenfrequency sensitivities usi...
We present the software RPExpand for modal expansions of physical observables in resonant systems. T...
A central challenge in contemporary materials and photonics research is understanding how intrinsic ...
Machine learning offers the potential to revolutionize the inverse design of complex nanophotonic co...
Recent advances in stochastic optimization and machine learning methods, along with successful innov...
Nanophotonic devices has led to many interesting applications in optical sensing, fibre lasers, fibr...
The problem of constructing nanophotonic structures of arbitrary geometry with prescribed properties...
Nanophotonique des milieux complexes : nouveaux outils de modélisation vers de nouveaux phénomènes o...
Numerical optimization for the inverse design of photonic structures is a tool which is providing in...
Optical resonators are widely used in modern photonics. Their spectral response and temporal dynamic...
We consider the problem of the construction of the nanophotonic structures of arbitrary geometry wit...
We present several modeling methods for the study of nanophotonic devices: a non-linear eigenmode ex...
The aim of this thesis is to develop a technique which can be used in the reliable modelling, design...
Many nanophotonic devices rely on the excitation of photonic resonances to enhance light-matter inte...
Determining the electromagnetic field response of photonic and plasmonic resonators is a formidable ...
Summary Data and source code relate to the article "Computation of eigenfrequency sensitivities usi...
We present the software RPExpand for modal expansions of physical observables in resonant systems. T...
A central challenge in contemporary materials and photonics research is understanding how intrinsic ...
Machine learning offers the potential to revolutionize the inverse design of complex nanophotonic co...
Recent advances in stochastic optimization and machine learning methods, along with successful innov...
Nanophotonic devices has led to many interesting applications in optical sensing, fibre lasers, fibr...
The problem of constructing nanophotonic structures of arbitrary geometry with prescribed properties...
Nanophotonique des milieux complexes : nouveaux outils de modélisation vers de nouveaux phénomènes o...
Numerical optimization for the inverse design of photonic structures is a tool which is providing in...
Optical resonators are widely used in modern photonics. Their spectral response and temporal dynamic...
We consider the problem of the construction of the nanophotonic structures of arbitrary geometry wit...
We present several modeling methods for the study of nanophotonic devices: a non-linear eigenmode ex...
The aim of this thesis is to develop a technique which can be used in the reliable modelling, design...