Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • CLEO/Europe and EQEC 2009 Conference Digest
  • (Optica Publishing Group, 2009),
  • paper CA9_3

New Fabrication Process of Anisotropic Laser Ceramics

Not Accessible

Your library or personal account may give you access

Abstract

Transparent polycrystalline media are expected to provide the next generation lasers due to their capability for engineered structure and productivity of large volume media that brings power scalability of high power laser oscillators [1]. However, conventional laser ceramics were limited to cubic materials, since optical scattering at randomly oriented grain boundaries should be occurred if materials have anisotropic crystallographic nature. The grain orientation techniques of anisotropic ceramics have been investigated using various methods, though it is difficult to obtain a large and homogeneously oriented transparent material. Actually, there is no report of anisotropic materials such as transparent YVO4 ceramics and FAP ceramics in our knowledge. In this research, a new method of "advanced electromagnetic processing" has been established for fabricating transparent rare-earth doped anisotropic ceramics toward the Giant Micro Photonics [2]. We applied it for RE:FAP (RE:Ca10(PO4)6F2) materials that have excellent optical properties such as high absorption efficiency, high emission cross-section and long lifetime.

© 2009 IEEE

PDF Article
More Like This
New Generation of Laser Ceramics with Anisotropic Materials

J. Akiyama, Y. Sato, and T. Taira
MF1 Advanced Solid-State Photonics (ASSL) 2009

First Demonstration of Rare-Earth-Doped Anisotropic Ceramic Laser

J. Akiyama and T. Taira
CA1_1 The European Conference on Lasers and Electro-Optics (CLEO/Europe) 2011

Development of Anisotropic Transparent Ceramics for Laser Media

J. Akiyama and T. Taira
ATuB3 Advanced Solid-State Photonics (ASSL) 2010

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.