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LIMBACHER, B. SCHÖNHUBER, S. KAINZ, M. BACHELARD, N. ANDREWS, A. DETZ, H. STRASSER, G. DARMO, J. UNTERRAINER, K.
Original Title
Deep learning control of THz QCLs
Type
journal article in Web of Science
Language
English
Original Abstract
Artificial neural networks are capable of fitting highly non-linear and complex systems. Such complicated systems can be found everywhere in nature, including the non-linear interaction between optical modes in laser resonators. In this work, we demonstrate artificial neural networks trained to model these complex interactions in the cavity of a Quantum Cascade Random Laser. The neural networks are able to predict modulation schemes for desired laser spectra in real-time. This radically novel approach makes it possible to adapt spectra to individual requirements without the need for lengthy and costly simulation and fabrication iterations. Published by The Optical Society under the terms of the Creative Commons Attribution 4.0 License.
Keywords
QUANTUM CASCADE LASERS; TERAHERTZ; BAND; IMAGE; LIGHT
Authors
LIMBACHER, B.; SCHÖNHUBER, S.; KAINZ, M.; BACHELARD, N.; ANDREWS, A.; DETZ, H.; STRASSER, G.; DARMO, J.; UNTERRAINER, K.
Released
19. 7. 2021
Publisher
Optica Publishing Group
Location
WASHINGTON
ISBN
1094-4087
Periodical
OPTICS EXPRESS
Year of study
29
Number
15
State
United States of America
Pages from
23611
Pages to
23621
Pages count
11
URL
https://www.osapublishing.org/oe/fulltext.cfm?uri=oe-29-15-23611&id=453190
Full text in the Digital Library
http://hdl.handle.net/11012/203035
BibTex
@article{BUT172324, author="Benedikt {Limbacher} and Sebastian {Schönhuber} and Martin A. {Kainz} and Nicolas {Bachelard} and Aaron Maxwell {Andrews} and Hermann {Detz} and Gottfried {Strasser} and Juraj {Darmo} and Karl {Unterrainer}", title="Deep learning control of THz QCLs", journal="OPTICS EXPRESS", year="2021", volume="29", number="15", pages="23611--23621", doi="10.1364/OE.430679", issn="1094-4087", url="https://www.osapublishing.org/oe/fulltext.cfm?uri=oe-29-15-23611&id=453190" }