Artificial Neural Network Assisted Spectral Scatterometry For Grating Quality Control

Kuvaus

Data related to the ANN assisted spectral scatterometry project. The dataset contains the simulated and measured diffraction efficiencies with which the ANN was trained (A/B/C_training files). In addition there are diffraction efficiencies that are simulated using the specifications of the measured samples (v1_A/B_256.h5), the spectrum of the light source, uncertainty calculations, and the trained ANN itself (TLModel_4.13) created using Tensorflow and Keras for Python.
Näytä enemmän

Julkaisuvuosi

2024

Aineiston tyyppi

Tekijät

Aleksi Mattila Orcid -palvelun logo - Tekijä

Projekti

Muut tiedot

Tieteenalat

Kieli

Saatavuus

Avoin

Lisenssi

Creative Commons Nimeä 4.0 Kansainvälinen (CC BY 4.0)

Avainsanat

diffraction, gratings, inverse modeling, scatterometry, transfer learning

Asiasanat

Ajallinen kattavuus

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