J
John J. Kozak
Researcher at DePaul University
Publications - 214
Citations - 2590
John J. Kozak is an academic researcher from DePaul University. The author has contributed to research in topics: Random walk & Monte Carlo method. The author has an hindex of 23, co-authored 214 publications receiving 2484 citations. Previous affiliations of John J. Kozak include Université libre de Bruxelles & Royal Meteorological Institute.
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Solute‐Solute Interactions in Aqueous Solutions
TL;DR: In this article, the authors interpreted solvent-solute interactions in aqueous solutions of nonelectrolytes using both lattice and distribution function theories of the dissolved state.
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Analytic expression for the mean time to absorption for a random walker on the Sierpinski gasket.
John J. Kozak,V. Balakrishnan +1 more
TL;DR: The exact analytic expression for the mean time to absorption (or mean walk length) for a particle performing a random walk on a finite Sierpinski gasket with a trap at one vertex is found to be T((n))=[3(n)5 (n+1)+4(5(n))-3( n)]/(3(N+1))+1) where n denotes the generation index of the gasket, and the mean is over a set of starting points
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Role of dimensionality and spatial extent in influencing intramicellar kinetic processes
TL;DR: This poster presents a probabilistic approach to estimating the response of the immune system to laser-spot assisted, 3D image analysis of central nervous system injury.
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α-Synuclein Tertiary Contact Dynamics
TL;DR: Calculations based on a Markovian lattice model developed to describe intrachain diffusion dynamics for a disordered polypeptide give contact quenching rates for various loop sizes ranging from 6 to 48 that are in reasonable agreement with experimentally determined values for small loops.
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Analytic expression for the mean time to absorption for a random walker on the Sierpinski gasket. II. the eigenvalue spectrum
TL;DR: The study of a particle undergoing an unbiased random walk on the Sierpinski gasket is continued, and for the gasket and tower the eigenvalue spectrum of the associated stochastic master equation is obtained.