activity
20172021
most citedBayesian optimization with improved scalability and derivative information for efficient design of nanophotonic structures

32 citations · 96 across the 6 of their papers we have counts for

collaborators

14 papers

physics.comp-ph20215 cited

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…

quant-ph202123 cited

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…

physics.app-ph2021

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…

physics.app-ph2021

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…

physics.comp-ph202132 cited

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…

physics.data-an202012 cited

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…