Displaying items by tag: optimization and parameter retrieval methods

Bayesian Optimization With Improved Scalability and Derivative Information for Efficient Design of Nanophotonic Structures

Published in 2020
Tagged under
Read more...

Deterministically fabricated spectrally-tunable quantum dot based single-photon source

Published in 2020
Tagged under
Read more...

Element sensitive reconstruction of nanostructured surfaces with finite elements and grazing incidence soft X-ray fluorescence

Published in 2018
Tagged under
Read more...

Optimization of free-form shapes using a global optimization method

Published in 2018
Tagged under
Read more...

Metrology of nanoscale grating structures by UV scatterometry

Published in 2017
Tagged under
Read more...

Investigating surface structures by EUV scattering

Published in 2017
Tagged under
Read more...

Evaluating the effects of modeling errors for isolated finite three-dimensional targets

Published in 2017
Tagged under
Read more...

Quantifying parameter uncertainties in optical scatterometry using Bayesian inversion

Published in 2017
Tagged under
Read more...

Quantitative optical imaging for in-die-capable critical dimension targets

Published in 2016
Tagged under
Read more...

Fiber grating couplers on SOI

Published in 2014
Tagged under
Read more...

Efficient Bayesian inversion for shape reconstruction of lithography masks

Published in 2010
Tagged under
Read more...

JCMsuite used for Mueller matrix ellipsometry

Published in 2019
Tagged under
Read more...

Benchmark of Global Optimization Approaches for Nano-optical Shape Optimization and Parameter Reconstruction

Published in 2019
Tagged under
Read more...

Gaussian process regression for efficient parameter reconstruction

Published in 2019
Tagged under
Read more...

Grazing incidence x-ray fluorescence based profile reconstruction

Published in 2019
Tagged under
Read more...
logo