TY - GEN
T1 - Optical Characterization of Thin Films from Transmission Data using Deep Learning
AU - Ballester, Manuel
AU - Würsch, Christoph
AU - Marquez, Emilio
AU - Willomitzer, Florian
AU - Katsaggelos, A. K.
N1 - Publisher Copyright:
© 2024 The Author(s).
PY - 2024
Y1 - 2024
N2 - We present a novel Deep Learning technique based on a CNN-LSTM architecture that directly performs the optical characterization of thin-film materials from their UV-VIS-IR transmission spectra.
AB - We present a novel Deep Learning technique based on a CNN-LSTM architecture that directly performs the optical characterization of thin-film materials from their UV-VIS-IR transmission spectra.
UR - https://www.scopus.com/pages/publications/85211750844
UR - https://www.scopus.com/pages/publications/85211750844#tab=citedBy
U2 - 10.1364/aopt.2024.fd1.1
DO - 10.1364/aopt.2024.fd1.1
M3 - Conference contribution
AN - SCOPUS:85211750844
T3 - Quantum Sensing and Metrology, QSM 2024 in Proceedings Optica Sensing Congress 2024, AIS, LACSEA, Sensors, QSM - Part of Optica Sensing Congress
BT - Quantum Sensing and Metrology, QSM 2024 in Proceedings Optica Sensing Congress 2024, AIS, LACSEA, Sensors, QSM - Part of Optica Sensing Congress
PB - Optical Society of America
T2 - Quantum Sensing and Metrology, QSM 2024 - Part of Optica Sensing Congress
Y2 - 15 July 2024 through 19 July 2024
ER -