M
Martin M. Fejer
Researcher at Stanford University
Publications - 1227
Citations - 104666
Martin M. Fejer is an academic researcher from Stanford University. The author has contributed to research in topics: Lithium niobate & Gravitational wave. The author has an hindex of 123, co-authored 1190 publications receiving 88708 citations. Previous affiliations of Martin M. Fejer include Laser Interferometer Gravitational Wave Observatory & University of Florida.
Papers
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Journal ArticleDOI
Characteristics of thick ZnSe films on quasi-phase-matched (QPM) GaAs substrates
Narsingh B. Singh,Gary Kanner,Andre Berghmans,D. Kahler,A. C. Lin,Brian P. Wagner,S.P. Kelley,David J. Knuteson,R. Holmstrom,Kenneth L. Schepler,Rita D. Peterson,Martin M. Fejer,James S. Harris +12 more
TL;DR: In this article, the authors have grown and characterized thick zinc selenide (ZnSe) films up to millimeter thickness on unpatterned gallium arsenide (GaAs) wafers and orientation patterned substrates by physical vapor transport.
Proceedings ArticleDOI
Progress in quasi-phase-matched optical parametric oscillators using periodically poled LiNbO 3
TL;DR: In this article, a quasi-phasematched optical parametric oscillators (OPO) in bulk periodically poled LiNbO3 wafers are presented. But the oscillation threshold is not defined.
Journal ArticleDOI
Optical-frequency balanced mixer.
TL;DR: This work fabricated a balanced mixer in periodically poled lithium niobate waveguides that has the expected linear and nonlinear optical performance.
Journal ArticleDOI
Optical probes of orientation-patterned ZnSe quasi-phase-matched devices
Gary Kanner,M. Marable,Narsingh B. Singh,Andre Berghmans,D. Kahler,Brian P. Wagner,Angie Lin,Martin M. Fejer,James S. Harris,Kenneth L. Schepler +9 more
TL;DR: Orientation patterned zinc selenide (OPZnSe) is a unique quasi-phase matched nonlinear optical material for enabling frequency conversion from visible to long-wave infrared wavelengths.
Journal ArticleDOI
Design of quasi-phasematching gratings via convex optimization.
TL;DR: It is shown that with this approach, globally optimum solutions to several important QPM design problems can be determined and the optimization framework is highly versatile, enabling the user to trade-off different objectives and constraints according to the particular application.