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

Nathalie Vermeulen*, Daniel Espinosa, Adam Ball, John Ballato, Philippe Boucaud, Georges Boudebs, Cecília L.A.V. Campos, Peter Dragic, Anderson S.L. Gomes, Mikko J. Huttunen, Nathaniel Kinsey, Rich Mildren, Dragomir Neshev, Lázaro A. Padilha, Minhao Pu, Ray Secondo, Eiji Tokunaga, Dmitry Turchinovich, Jingshi Yan, Kresten YvindKsenia Dolgaleva, Eric W. Van Stryland

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

44 Citations (Scopus)

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.

Original languageEnglish
Article number035001
JournalJPhys Photonics
Volume5
Issue number3
DOIs
Publication statusPublished - Jul 2023

Fingerprint

Dive into the research topics of 'Post-2000 nonlinear optical materials and measurements: data tables and best practices'. Together they form a unique fingerprint.

Cite this