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Brian S. Marks

Researcher at University of Maryland, Baltimore County

Publications -  59
Citations -  751

Brian S. Marks is an academic researcher from University of Maryland, Baltimore County. The author has contributed to research in topics: Polarization mode dispersion & Optical fiber. The author has an hindex of 15, co-authored 59 publications receiving 691 citations. Previous affiliations of Brian S. Marks include North Carolina State University & Johns Hopkins University.

Papers
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Interaction of polarization mode dispersion and nonlinearity in optical fiber transmission systems

TL;DR: In this paper, the Manakov-PMD equation was derived using multiple-length-scale techniques and it was shown that the scalar nonlinear Schro/spl uml/dinger equation is valid when the signal is initially in a single polarization state.
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Evolution of cold shock-bounded slabs

TL;DR: In this paper, the authors studied the stability and evolution of cold, shock-bounded slabs using numerical hydrodynamic simulations, and confirmed the analysis of Vishniac (1994) who showed that such slabs are unstable if they are perturbed by a displacement larger than their width.
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Pulse compression using a tapered microstructure optical fiber.

TL;DR: It is found that there is little difference in the pulse compression between a linear taper profile and a Gaussian tapers, and only a moderate increase in the degree of pulse compression is obtained.
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Modeling Sources of Nonlinearity in a Simple p-i-n Photodetector

TL;DR: In this paper, the physical origin of the saturation in a simple heterojunction p-i-n photodetector at room temperature was investigated using one-dimensional and two-dimensional simulations of the drift-diffusion equations.
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Boundary tracking algorithms for determining the stability of mode-locked pulses

TL;DR: In this paper, the existence and stability of pulses in passively mode-locked laser systems over a broad parameter range is determined by boundary tracking algorithms, which are applied to the cubic-quintic mode-locking equation to find a rich dynamical structure.