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Amnon Yariv

Researcher at California Institute of Technology

Publications -  1084
Citations -  56928

Amnon Yariv is an academic researcher from California Institute of Technology. The author has contributed to research in topics: Laser & Semiconductor laser theory. The author has an hindex of 103, co-authored 1082 publications receiving 55256 citations. Previous affiliations of Amnon Yariv include University of California, Santa Barbara & Watkins-Johnson Company.

Papers
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Proceedings Article

Integrated optics

TL;DR: In this paper, the main theoretical and experimental developments to date in Integrated Optics are reviewed, including material considerations, guiding mechanisms, modulation, coupling and mode losses, as well as the fabrication and applications of periodic thin film structures.
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Highly sensitive fiber Bragg grating refractive index sensors

TL;DR: In this paper, the authors combine fiber Bragg grating (FBG) technology with a wet chemical etch-erosion procedure and demonstrate two types of refractive index sensors using singlemode optical fibers.
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Spatial solitons in photorefractive media.

TL;DR: In this article, the authors show that photorefractive media can support a new type of spatial soliton, in which the diffraction is balanced by the self-scattering (two-wave mixing) of the beam spatial frequency components.
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Critical coupling and its control in optical waveguide-ring resonator systems

TL;DR: In this paper, the coupling of optical waveguides to ring resonators holds the promise of a new generation of switches (modulators) which employ orders of magnitude smaller switching (modulation) voltages (or control intensities).
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Quantum Fluctuations and Noise in Parametric Processes. I.

TL;DR: In this article, a quantum mechanical model for parametric interactions is used to evaluate the effect of the measuring (amplifying) process on the statistical properties of radiation, and it is shown that it allows a simultaneous determination of the phase and number of quanta of an electromagnetic wave with an accuracy which is limited only by the uncertainty principle.