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Electrical tunability of terahertz nonlinearity in graphene
Graphene is conceivably the most nonlinear optoelectronic material we know. Its nonlinear optical coefficients in the terahertz frequency range surpass those of other materials by many orders of magnitude. Here, we show that the terahertz nonlinearity of graphene, both for ultrashort single-cycle an...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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American Association for the Advancement of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8026126/ https://www.ncbi.nlm.nih.gov/pubmed/33827824 http://dx.doi.org/10.1126/sciadv.abf9809 |
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author | Kovalev, Sergey Hafez, Hassan A. Tielrooij, Klaas-Jan Deinert, Jan-Christoph Ilyakov, Igor Awari, Nilesh Alcaraz, David Soundarapandian, Karuppasamy Saleta, David Germanskiy, Semyon Chen, Min Bawatna, Mohammed Green, Bertram Koppens, Frank H. L. Mittendorff, Martin Bonn, Mischa Gensch, Michael Turchinovich, Dmitry |
author_facet | Kovalev, Sergey Hafez, Hassan A. Tielrooij, Klaas-Jan Deinert, Jan-Christoph Ilyakov, Igor Awari, Nilesh Alcaraz, David Soundarapandian, Karuppasamy Saleta, David Germanskiy, Semyon Chen, Min Bawatna, Mohammed Green, Bertram Koppens, Frank H. L. Mittendorff, Martin Bonn, Mischa Gensch, Michael Turchinovich, Dmitry |
author_sort | Kovalev, Sergey |
collection | PubMed |
description | Graphene is conceivably the most nonlinear optoelectronic material we know. Its nonlinear optical coefficients in the terahertz frequency range surpass those of other materials by many orders of magnitude. Here, we show that the terahertz nonlinearity of graphene, both for ultrashort single-cycle and quasi-monochromatic multicycle input terahertz signals, can be efficiently controlled using electrical gating, with gating voltages as low as a few volts. For example, optimal electrical gating enhances the power conversion efficiency in terahertz third-harmonic generation in graphene by about two orders of magnitude. Our experimental results are in quantitative agreement with a physical model of the graphene nonlinearity, describing the time-dependent thermodynamic balance maintained within the electronic population of graphene during interaction with ultrafast electric fields. Our results can serve as a basis for straightforward and accurate design of devices and applications for efficient electronic signal processing in graphene at ultrahigh frequencies. |
format | Online Article Text |
id | pubmed-8026126 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-80261262021-04-21 Electrical tunability of terahertz nonlinearity in graphene Kovalev, Sergey Hafez, Hassan A. Tielrooij, Klaas-Jan Deinert, Jan-Christoph Ilyakov, Igor Awari, Nilesh Alcaraz, David Soundarapandian, Karuppasamy Saleta, David Germanskiy, Semyon Chen, Min Bawatna, Mohammed Green, Bertram Koppens, Frank H. L. Mittendorff, Martin Bonn, Mischa Gensch, Michael Turchinovich, Dmitry Sci Adv Research Articles Graphene is conceivably the most nonlinear optoelectronic material we know. Its nonlinear optical coefficients in the terahertz frequency range surpass those of other materials by many orders of magnitude. Here, we show that the terahertz nonlinearity of graphene, both for ultrashort single-cycle and quasi-monochromatic multicycle input terahertz signals, can be efficiently controlled using electrical gating, with gating voltages as low as a few volts. For example, optimal electrical gating enhances the power conversion efficiency in terahertz third-harmonic generation in graphene by about two orders of magnitude. Our experimental results are in quantitative agreement with a physical model of the graphene nonlinearity, describing the time-dependent thermodynamic balance maintained within the electronic population of graphene during interaction with ultrafast electric fields. Our results can serve as a basis for straightforward and accurate design of devices and applications for efficient electronic signal processing in graphene at ultrahigh frequencies. American Association for the Advancement of Science 2021-04-07 /pmc/articles/PMC8026126/ /pubmed/33827824 http://dx.doi.org/10.1126/sciadv.abf9809 Text en Copyright © 2021 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY). https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution license (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Articles Kovalev, Sergey Hafez, Hassan A. Tielrooij, Klaas-Jan Deinert, Jan-Christoph Ilyakov, Igor Awari, Nilesh Alcaraz, David Soundarapandian, Karuppasamy Saleta, David Germanskiy, Semyon Chen, Min Bawatna, Mohammed Green, Bertram Koppens, Frank H. L. Mittendorff, Martin Bonn, Mischa Gensch, Michael Turchinovich, Dmitry Electrical tunability of terahertz nonlinearity in graphene |
title | Electrical tunability of terahertz nonlinearity in graphene |
title_full | Electrical tunability of terahertz nonlinearity in graphene |
title_fullStr | Electrical tunability of terahertz nonlinearity in graphene |
title_full_unstemmed | Electrical tunability of terahertz nonlinearity in graphene |
title_short | Electrical tunability of terahertz nonlinearity in graphene |
title_sort | electrical tunability of terahertz nonlinearity in graphene |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8026126/ https://www.ncbi.nlm.nih.gov/pubmed/33827824 http://dx.doi.org/10.1126/sciadv.abf9809 |
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