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Dive into the research topics where Jeremy B. Maddox is active.

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Featured researches published by Jeremy B. Maddox.


Journal of Chemical Physics | 2001

Quantum relaxation dynamics using Bohmian trajectories

Jeremy B. Maddox; Eric R. Bittner

We present a new Bohmian trajectory based treatment of quantum dynamics suitable for dissipative systems. Writing the density matrix in complex-polar form, we derive and define quantum equations of motion for Liouville-space trajectories for a generalized system coupled to a dissipative environment. Our theory includes a vector potential which mixes forward and backwards propagating components and pulls coherence amplitude away from the diagonal region of the density matrix. Quantum effects enter via a double quantum potential, Q(x,y), which is a measure of the local curvature of the density amplitude. We discuss how decoherence can be thought of as a balancing between localization brought on by contact with a thermal environment which increases the local curvature of the density matrix and delocalization due to the internal pressure of the quantum force which seeks to minimize the local curvature. The quantum trajectories are then used to propagate an adaptive Lagrangian grid which carries the density ma...


Journal of Chemical Physics | 2003

Estimating Bohm’s quantum force using Bayesian statistics

Jeremy B. Maddox; Eric R. Bittner

In this paper we develop an approximate methodology for estimating the multidimensional quantum density associated with a statistical bundle of de Broglie–Bohm trajectories. The quantum density is constructed as a discrete sum of nonequivalent Gaussian components. We incorporate the ideas of Bayesian statistical analysis and an expectation-maximization procedure to compute an approximate quantum force that drives the statistical ensemble quantum trajectories.In this paper we develop an approximate methodology for estimating the multidimensional quantum density associated with a statistical bundle of de Broglie–Bohm trajectories. The quantum density is constructed as a discrete sum of nonequivalent Gaussian components. We incorporate the ideas of Bayesian statistical analysis and an expectation-maximization procedure to compute an approximate quantum force that drives the statistical ensemble quantum trajectories.


Physical Review E | 2002

Quantum dissipation in unbounded systems

Jeremy B. Maddox; Eric R. Bittner


International Journal of Quantum Chemistry | 2002

Relaxation of quantum hydrodynamic modes

Eric R. Bittner; Jeremy B. Maddox; Irene Burghardt


Journal of Physical Chemistry B | 2002

Quantum Dissipation in the Hydrodynamic Moment Hierarchy: A Semiclassical Truncation Strategy †

Jeremy B. Maddox; Eric R. Bittner


Journal of Physical Chemistry A | 2009

Supersymmetric approach to excited states.

Eric R. Bittner; Jeremy B. Maddox; Donald J. Kouri


Journal of Organometallic Chemistry | 2011

Synthesis, structure, and electronic study of some group VII furoyl substituted complexes

Chad A. Snyder; Nathan C. Tice; Jeremy B. Maddox; Eric D. Emberton; Eric Vanover; Daniel F. Hinson; Daniel C. Jackson


Heterocycles | 2011

Synthesis, structure, and theoretical calculations of 1H-3,7-difurylcyclopenta〔3,4-d〕pyridazine

Chad A. Snyder; Nathan C. Tice; Jeremy B. Maddox; Sean Parkin; Aaron W. Daniel; Jaron M. Thomas


Archive | 2012

Adaptive Quantum Monte Carlo Approach States for High-Dimensional Systems

Eric R. Bittner; Donald J. Kouri; Sean W. Derrickson; Jeremy B. Maddox


Computer Physics Communications | 2014

POTLIB2Math: A Mathematica interface to the potential energy surface library for chemical systems

Aaron M. Tagliaboschi; Jeremy B. Maddox

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Chad A. Snyder

Western Kentucky University

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Daniel C. Jackson

Western Kentucky University

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Daniel F. Hinson

Western Kentucky University

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Eric D. Emberton

Western Kentucky University

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Eric Vanover

Western Kentucky University

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