A unified materials approach to mitigating optical nonlinearities in fiber lasers

John Ballato, Maxime Cavillon, Peter Dragic, Courtney Kucera, Thomas Hawkins

Research output: Chapter in Book/Report/Conference proceedingConference contribution


This paper provides a road-map for the development of simple core/clad optical fibers whose enhanced performance - in particular, marked reductions in optical nonlinearities - is achieved materially and not through the more conventional present routes of geometrically complex fiber design. More specifically, the material properties that give rise to Brillouin, Raman, and Rayleigh scattering, transverse mode instabilities (TMI), and n2-mediated nonlinear effects are compiled and results on a wide range of optical fibers are discussed with a focus on trends in performance with glass composition. Further, optical power scaling estimations as well as binary and ternary property diagrams associated with Rayleigh scattering, the Brillouin gain coefficient (BGC) and the thermo-optic coefficient (dn/dT) are developed and employed to graphically represent general trends with composition along with compositional targets for a single intrinsically low nonlinearity, silica-based optical fiber that can achieve the powerscaling goals of future high energy fiber laser applications.

Original languageEnglish (US)
Title of host publicationFiber Lasers and Glass Photonics
Subtitle of host publicationMaterials through Applications
EditorsStefano Taccheo, Jacob I. Mackenzie, Maurizio Ferrari
ISBN (Electronic)9781510618923
StatePublished - 2018
EventFiber Lasers and Glass Photonics: Materials through Applications 2018 - Strasbourg, France
Duration: Apr 22 2018Apr 26 2018

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X


OtherFiber Lasers and Glass Photonics: Materials through Applications 2018

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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