4 citations · 5 across the 3 of their papers we have counts for
3 papers
Comparing Machine Learning and Physics-Based Nanoparticle Geometry Determinations Using Far-Field Spectral Properties
Mengqi Sun, Zixu Huang, Muammer Y. Yaman +3
Anisotropic metal nanostructures exhibit polarization-dependent light scattering. This property has been widely exploited to determine geometries of subwavelength structures using…
Learning and predicting photonic responses of plasmonic nanoparticle assemblies via dual variational autoencoders
Muammer Y. Yaman, Sergei V. Kalinin, Kathryn N. Guye +2
We demonstrate the application of machine learning for rapid and accurate extraction of plasmonic particles cluster geometries from hyperspectral image data via a dual variational…
Semi-supervised learning of images with strong rotational disorder: assembling nanoparticle libraries
Maxim Ziatdinov, Muammer Yusuf Yaman, Yongtao Liu +2
The proliferation of optical, electron, and scanning probe microscopies gives rise to large volumes of imaging data of objects as diversified as cells, bacteria, pollen, to nanopar…