Post-2000 nonlinear optical materials and measurements: data tables and best practices

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Abstract
In its 60 years of existence, the field of nonlinear optics has gained momentum especially over the past two decades thanks to major breakthroughs in material science and technology. In this article, we present a new set of data tables listing nonlinear-optical properties for different material categories as reported in the literature since 2000. The papers included in the data tables are representative experimental works on bulk materials, solvents, 0D–1D–2D materials, metamaterials, fiber waveguiding materials, on-chip waveguiding materials, hybrid waveguiding systems, and materials suitable for nonlinear optics at THz frequencies. In addition to the data tables, we also provide best practices for performing and reporting nonlinear-optical experiments. These best practices underpin the selection process that was used for including papers in the tables. While the tables indeed show strong advancements in the field over the past two decades, we encourage the nonlinear-optics community to implement the identified best practices in future works. This will allow a more adequate comparison, interpretation and use of the published parameters, and as such further stimulate the overall progress in nonlinear-optical science and applications.
Funding Information
  • J. E. Sirrine Foundation
  • Fonds Wetenschappelijk Onderzoek (G005420N)
  • Universite Angers
  • Agence Nationale de la Recherche (ANR-19-CE24-0015)
  • Instituto Nacional de Fotônica (CNPq)
  • NNN-TELECOM Program (2015 09036)
  • National Science Foundation (1808928)
  • U.S. Department of Defense Directed Energy Joint Transition Office (N00014-17-1-2546)
  • Air Force Office of Scientific Research (FA2386-21-1-4030)
  • Research Council of Finland (320165)
  • Canada Research Chairs
  • Horizon 2020 Framework Programme (853522)
  • Australian Research Council (CE20010001)
  • Danmarks Grundforskningsfond (DNRF123)
  • Deutsche Forschungsgemeinschaft (468501411–SPP2314)
  • Natural Science and Engineering Council’s Discovery program (RGPIN-2020-03989)

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