D. Gillespie

发表

Exact Stochastic Simulation of Coupled Chemical Reactions

D. Gillespie, 1977 .

The chemical Langevin equation

D. Gillespie, 2000 .

A rigorous derivation of the chemical master equation

D. Gillespie, 1992 .

A General Method for Numerically Simulating the Stochastic Time Evolution of Coupled Chemical Reactions

D. Gillespie, 1976 .

Approximate accelerated stochastic simulation of chemically reacting systems

D. Gillespie, 2001 .

The Chemical Langevin and Fokker−Planck Equations for the Reversible Isomerization Reaction†

D. Gillespie, 2002 .

Accelerated stochastic simulation of the stiff enzyme-substrate reaction.

D. Gillespie, L. Petzold, Yang Cao, 2005, The Journal of chemical physics.

State-dependent doubly weighted stochastic simulation algorithm for automatic characterization of stochastic biochemical rare events.

Min K. Roh, B. J. Daigle, D. Gillespie, 2011, The Journal of chemical physics.

Markov Processes: An Introduction for Physical Scientists

D. Gillespie, 1991 .

Effect of reactant size on discrete stochastic chemical kinetics.

D. Gillespie, L. Petzold, S. Lampoudi, 2007, The Journal of chemical physics.

Avoiding negative populations in explicit Poisson tau-leaping.

D. Gillespie, L. Petzold, Yang Cao, 2005, The Journal of chemical physics.

Conditioned averages in chemical kinetics

Marc Mangel, Daniel T. Gillespie, D. Gillespie, 1981 .

Calculation of n-scattered lidar returns for large n in an idealized cloud

Daniel T. Gillespie, D. Gillespie, 1987 .

STOCHASTIC CHEMICAL KINETICS : THE CHEMICAL MASTER EQUATION AND THE STOCHASTIC SIMULATION ALGORITHM

D. Gillespie, 2007 .

The mathematics of Brownian motion and Johnson noise

D. Gillespie, 1996 .

Monte Carlo simulation of random walks with residence time dependent transition probability rates

Daniel T. Gillespie, D. Gillespie, 1978 .

Deterministic limit of stochastic chemical kinetics.

D. Gillespie, Daniel T Gillespie, 2009, The journal of physical chemistry. B.

Refining the weighted stochastic simulation algorithm.

Linda R Petzold, Min K. Roh, D. Gillespie, 2009, The Journal of chemical physics.

Legitimacy of the stochastic Michaelis-Menten approximation.

Kevin R. Sanft, D. Gillespie, L. Petzold, 2011, IET systems biology.

Fluctuation and dissipation in Brownian motion

Daniel T. Gillespie, D. Gillespie, 1993 .

Stochastic Modeling of Gene Regulatory Networks †

D. Gillespie, L. Petzold, M. Khammash, 2005 .

The subtle business of model reduction for stochastic chemical kinetics.

Linda R Petzold, Yang Cao, D. Gillespie, 2009, The Journal of chemical physics.

Analytic Reduction of the Monostatic Lidar Multiple Backscattering Integral.

D. Gillespie, 1985 .

Concerning the validity of the stochastic approach to chemical kinetics

Daniel T. Gillespie, D. Gillespie, 1977 .

Improved leap-size selection for accelerated stochastic simulation

Linda R. Petzold, Daniel T. Gillespie, D. Gillespie, 2003 .

Chapter 1 Numerical Simulation for Biochemical Kinetics

Linda R. Petzold, Daniel T. Gillespie, D. Gillespie, 2022 .

Stochastic simulation of chemical kinetics.

Daniel T Gillespie, D. Gillespie, 2007, Annual review of physical chemistry.

MULTIPLE PION PRODUCTION IN 5.5-GeV/c $pi$$sup -$p INTERACTIONS.

D. Gillespie, A. Pevsner, R. Zdanis, 1967 .

Stochastic modelling of gene regulatory networks

Linda R. Petzold, Daniel T. Gillespie, Mustafa Khammash, 2005 .

Efficient step size selection for the tau-leaping simulation method.

Linda R Petzold, Yang Cao, Daniel T Gillespie, 2006, The Journal of chemical physics.

Stochastic Modeling of Gene Regulatory Networks y

Linda R. Petzold, Daniel T. Gillespie, Mustafa Khammash, 2005 .

Perspective: Stochastic algorithms for chemical kinetics.

Andreas Hellander, Linda R Petzold, D. Gillespie, 2013, The Journal of chemical physics.

Adaptive explicit-implicit tau-leaping method with automatic tau selection.

Linda R Petzold, Yang Cao, Daniel T Gillespie, 2007, The Journal of chemical physics.

Multiscale stochastic simulation algorithm with stochastic partial equilibrium assumption for chemically reacting systems

Yang Cao, Daniel T. Gillespie, Linda R. Petzold, 2005 .

Consistency and Stability of Tau-Leaping Schemes for Chemical Reaction Systems

Muruhan Rathinam, Linda R. Petzold, Yang Cao, 2005, Multiscale Model. Simul..

The numerical stability of leaping methods for stochastic simulation of chemically reacting systems.

Muruhan Rathinam, Linda R Petzold, Yang Cao, 2004, The Journal of chemical physics.

Stiffness in stochastic chemically reacting systems: The implicit tau-leaping method

Muruhan Rathinam, Linda R. Petzold, Yang Cao, 2003 .

Algorithms and Software for Stochastic Simulation of Biochemical Reacting Systems

Hong Li, Linda R Petzold, Yang Cao, 2008, Biotechnology progress.

The multivariate Langevin and Fokker–Planck equations

Daniel T. Gillespie, D. Gillespie, 1996 .

A stochastic analysis of the homogeneous nucleation of vapor condensation

D. Gillespie, 1981 .

A Theorem for Physicists in the Theory of Random Variables. Addenda.

D. Gillespie, Daniel T Gillespie, 1983 .

INTERFERENCE ANALYSIS OF THE K*(1400).

D. Gillespie, A. Pevsner, D. Denegri, 1968 .

Simple Brownian Diffusion: An Introduction to the Standard Theoretical Models

Daniel T. Gillespie, Effrosyni Seitaridou, D. Gillespie, 2012 .

ANALYSIS OF THE K(1300) SYSTEM PRODUCED IN 5.5-GeV/c K$sup +$p INTERACTIONS.

D. Gillespie, A. Pevsner, R. Zdanis, 1968 .

Study of the 1450-Mev pπ + π - Enhancement in the Reaction K + p-->K + π + π - p at 5.5 BeV/c

D. Gillespie, A. Pevsner, D. Denegri, 1969 .

Approximating the master equation by Fokker–Planck‐type equations for single‐variable chemical systems

Daniel T. Gillespie, D. Gillespie, 1980 .

The slow-scale stochastic simulation algorithm.

Linda R Petzold, Yang Cao, Daniel T Gillespie, 2005, The Journal of chemical physics.

Validity conditions for stochastic chemical kinetics in diffusion-limited systems.

Linda R Petzold, Effrosyni Seitaridou, D. Gillespie, 2014, The Journal of chemical physics.

A diffusional bimolecular propensity function.

D. Gillespie, Daniel T Gillespie, 2009, The Journal of chemical physics.

Simulation Methods in Systems Biology

Daniel T. Gillespie, D. Gillespie, 2008, SFM.

The Wal-Mart Effect.

D. Gillespie, 2006 .

Transmittance of Optical Materials at High Temperatures in the 1-μ to 12-μ Range

D. Gillespie, A. L. Olsen, L. W. Nichols, 1965 .

Three-particle collision effects in the transport properties of a gas of hard spheres

D. Gillespie, J. Sengers, J. J. Perez-Esandi, 1978 .

Three‐Particle Collision Integrals for a Gas of Hard Spheres

D. Gillespie, M. Ernst, J. Sengers, 1972 .

The Stochastic Coalescence Model for Cloud Droplet Growth.

Daniel T. Gillespie, D. Gillespie, 1972 .

The first‐passage time approach

D. Gillespie, Effrosyni Seitaridou, 2012 .

Dynamic Light Scattering

D. Gillespie, Daniel T Gillespie, Experiment Dls, 1985 .

Stochastic Algorithms for Chemical Kinetics

Andreas Hellander, Linda R. Petzold, Daniel T. Gillespie, 2013 .

Automated estimation of rare event probabilities in biochemical systems.

Bernie J Daigle, Min K Roh, Dan T Gillespie, 2011, The Journal of chemical physics.

State-dependent biasing method for importance sampling in the weighted stochastic simulation algorithm.

Min K Roh, Dan T Gillespie, Linda R Petzold, 2010, The Journal of chemical physics.

The small-voxel tracking algorithm for simulating chemical reactions among diffusing molecules.

D. Gillespie, Effrosyni Seitaridou, Carol A. Gillespie, 2014, The Journal of chemical physics.

An Exact Method for Numerically Simulating the Stochastic Coalescence Process in a Cloud

Daniel T. Gillespie, D. Gillespie, 1975 .

Modeling quantum measurement probability as a classical stochastic process.

William O. Alltop, Daniel T. Gillespie, D. Gillespie, 2001, Chaos.

Non-Markovian stochastic processes

Daniel T. Gillespie, D. Gillespie, 2000 .

A mathematical comparison of simple models of Johnson noise and shot noise

D. Gillespie, 2000 .

Incompatibility of the Schrödinger equation with Langevin and Fokker-Planck equations

D. Gillespie, 1995 .

Linear noise approximation is valid over limited times for any chemical system that is sufficiently large.

D. Gillespie, L. Petzold, E. Wallace, 2012, IET systems biology.

Exact numerical simulation of the Ornstein-Uhlenbeck process and its integral.

Gillespie, D. Gillespie, 1996, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

Master equations for random walks with arbitrary pausing time distributions

D. Gillespie, D. T. Gillespie, 1977 .

The multinomial simulation algorithm for discrete stochastic simulation of reaction-diffusion systems.

D. Gillespie, L. Petzold, S. Lampoudi, 2009, The Journal of chemical physics.

Adaptive explicit-implicit tau-leaping method with automatic tau selection.

D. Gillespie, L. Petzold, Yang Cao, 2007, The Journal of chemical physics.

Linear noise approximation is valid over limited times for any chemical system that is sufficiently large.

Kevin R. Sanft, D. Gillespie, L. Petzold, 2012, IET systems biology.

A pedestrian approach to transitions and fluctuations in simple nonequilibrium chemical systems

Daniel T. Gillespie, D. Gillespie, 1979 .

Dynamical theorems for three hard spheres

D. Gillespie, J. Sengers, W. Hoegy, 1970 .

Markov Processes: An Introduction for Physical Scientists

D. Gillespie, 1991 .

Transition time statistics in simple bi-stable chemical systems

D. Gillespie, 1980 .

Gillespie Algorithm for Biochemical Reaction Simulation

Daniel T. Gillespie, D. Gillespie, 2014, Encyclopedia of Computational Neuroscience.

Another proof of the random variable transformation theorem

B. Frieden, D. Gillespie, 1986 .

Untenability of simple ensemble interpretations of quantum measurement probabilities

D. Gillespie, 1986 .