no code implementations • 19 Jan 2024 • Matthias Plock, Felix Binkowski, Lin Zschiedrich, Philipp-Immanuel Schneider, Sven Burger
We apply the presented approach to the robust optimization of the Purcell enhancement of a photonic crystal nanobeam cavity.
no code implementations • 20 Dec 2023 • Oliver Anton, Victoria A. Henderson, Elisa Da Ros, Ivan Sekulic, Sven Burger, Philipp-Immanuel Schneider, Markus Krutzik
The generation of cold atom clouds is a complex process which involves the optimization of noisy data in high dimensional parameter spaces.
no code implementations • 4 May 2023 • Matthias Plock, Martin Hammerschmidt, Sven Burger, Philipp-Immanuel Schneider, Christof Schütte
In optical nano metrology numerical models are used widely for parameter reconstructions.
no code implementations • 23 Feb 2022 • Matthias Plock, Kas Andrle, Sven Burger, Philipp-Immanuel Schneider
We present a Bayesian target-vector optimization scheme with improved performance over previous developments, that considers all $K$ contributions of the model function and that is specifically suited for parameter reconstruction problems which are often based on hundreds of observations.
no code implementations • 12 Jul 2021 • Matthias Plock, Sven Burger, Philipp-Immanuel Schneider
It generally involves a set of measurements, to which one attempts to fit a numerical model of the measurement process.
no code implementations • 11 Mar 2021 • Felix Binkowski, Tong Wu, Philippe Lalanne, Sven Burger, Alexander O. Govorov
We theoretically study hot electron generation through the emission of a dipole source coupled to a nanoresonator on a metal surface.
Optics Mesoscale and Nanoscale Physics
no code implementations • 8 Jan 2021 • Xavier Garcia-Santiago, Sven Burger, Carsten Rockstuhl, Philipp-Immanuel Schneider
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.
no code implementations • 28 Mar 2019 • Philipp-Immanuel Schneider, Martin Hammerschmidt, Lin Zschiedrich, Sven Burger
Optical scatterometry is a method to measure the size and shape of periodic micro- or nanostructures on surfaces.
no code implementations • 18 Sep 2018 • Philipp-Immanuel Schneider, Xavier Garcia Santiago, Victor Soltwisch, Martin Hammerschmidt, Sven Burger, Carsten Rockstuhl
Numerical optimization is an important tool in the field of computational physics in general and in nano-optics in specific.