Detail publikace

Deep learning control of THz QCLs

LIMBACHER, B. SCHÖNHUBER, S. KAINZ, M. BACHELARD, N. ANDREWS, A. DETZ, H. STRASSER, G. DARMO, J. UNTERRAINER, K.

Originální název

Deep learning control of THz QCLs

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

QUANTUM CASCADE LASERS; TERAHERTZ; BAND; IMAGE; LIGHT

Autoři

LIMBACHER, B.; SCHÖNHUBER, S.; KAINZ, M.; BACHELARD, N.; ANDREWS, A.; DETZ, H.; STRASSER, G.; DARMO, J.; UNTERRAINER, K.

Vydáno

19. 7. 2021

Nakladatel

Optica Publishing Group

Místo

WASHINGTON

ISSN

1094-4087

Periodikum

OPTICS EXPRESS

Ročník

29

Číslo

15

Stát

Spojené státy americké

Strany od

23611

Strany do

23621

Strany počet

11

URL

Plný text v Digitální knihovně

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"
}