activity
20122026
most citedA Convergent Reaction-Diffusion Master Equation

97 citations · 250 across the 15 of their papers we have counts for

collaborators

15 papers

math.NA2026

A Convergent Reaction-Drift-Diffusion Master Equation with Interaction Potentials

Max Heldman, Samuel A. Isaacson

We extend the convergent reaction-diffusion master equation (CRDME) framework on unstructured grids to include two-body interaction potentials between particles. Such interactions…

physics.bio-ph2025

A Macroscopically Consistent Reactive Langevin Dynamics Model

Samuel A. Isaacson, Qianhan Liu, Konstantinos Spiliopoulos +1

Particle-based stochastic reaction-diffusion (PBSRD) models are a popular approach for capturing stochasticity in reaction and transport processes across biological systems. In som…

math.PR2023

Mean field limits of particle-based stochastic reaction-drift-diffusion models

Max Heldman, Samuel A. Isaacson, Qianhan Liu +1

We consider particle-based stochastic reaction-drift-diffusion models where particles move via diffusion and drift induced by one- and two-body potential interactions. The dynamics…

math.PR2022

Fluctuation analysis for particle-based stochastic reaction-diffusion models

Max Heldman, Samuel Isaacson, Jingwei Ma +1

Recent works have derived and proven the large-population mean-field limit for several classes of particle-based stochastic reaction-diffusion (PBSRD) models. These limits correspo…

q-bio.QM2022★ 6 cited

Detailed Balance for Particle Models of Reversible Reactions in Bounded Domains

Ying Zhang, Samuel A. Isaacson

In particle-based stochastic reaction-diffusion models, reaction rate and placement kernels are used to decide the probability per time a reaction can occur between reactant partic…

math.AP2020

How reaction-diffusion PDEs approximate the large-population limit of stochastic particle models

Samuel A Isaacson, Jingwei Ma, Konstantinos Spiliopoulos

Reaction-diffusion PDEs and particle-based stochastic reaction-diffusion (PBSRD) models are commonly-used approaches for modeling the spatial dynamics of chemical and biological sy…

q-bio.MN2020★ 1 cited

How Retroactivity Affects the Behavior of Incoherent Feed-Forward Loops

Junmin Wang, Calin Belta, Samuel A. Isaacson

An incoherent feed-forward loop (IFFL) is a network motif known for its ability to accelerate responses and generate pulses. Though functions of IFFLs are well studied, most previo…

math.PR2020★ 1 cited

Mean Field Limits of Particle-Based Stochastic Reaction-Diffusion Models

Samuel A. Isaacson, Jingwei Ma, Konstantinos Spiliopoulos

Particle-based stochastic reaction-diffusion (PBSRD) models are a popular approach for studying biological systems involving both noise in the reaction process and diffusive transp…

math.NA2017★ 23 cited

An Unstructured Mesh Convergent Reaction-Diffusion Master Equation for Reversible Reactions

Samuel A. Isaacson, Ying Zhang

The convergent reaction-diffusion master equation (CRDME) was recently developed to provide a lattice particle-based stochastic reaction-diffusion model that is a convergent approx…

q-bio.SC2016★ 16 cited

Uniform asymptotic approximation of diffusion to a small target: generalized reaction models

Sam Isaacson, Ava Mauro, Jay Newby

The diffusion of a reactant to a binding target plays a key role in many biological processes. The reaction-radius at which the reactant and target may interact is often a small pa…

q-bio.SC2013★ 18 cited

The Influence of Spatial Variation in Chromatin Density Determined by X-ray Tomograms on the Time to Find DNA Binding Sites

Samuel A. Isaacson, Carolyn A. Larabell, Mark A. Le Gros +2

In this work we examine how volume exclusion caused by regions of high chromatin density might influence the time required for proteins to find specific DNA binding sites. The spat…

physics.bio-ph2013★ 35 cited

Uniform asymptotic approximation of diffusion to a small target

Samuel A. Isaacson, Jay Newby

The problem of the time required for a diffusing molecule, within a large bounded domain, to first locate a small target is prevalent in biological modeling. Here we study this pro…

math.NA2013★ 21 cited

A First-Passage Kinetic Monte Carlo Method for Reaction-Drift-Diffusion Processes

Ava J. Mauro, Jon Karl Sigurdsson, Justin Shrake +2

Stochastic reaction-diffusion models are now a popular tool for studying physical systems in which both the explicit diffusion of molecules and noise in the chemical reaction proce…

math.AP2013★ 32 cited

A Comparison of Bimolecular Reaction Models for Stochastic Reaction Diffusion Systems

Ikemefuna C. Agbanusi, Samuel A. Isaacson

Stochastic reaction-diffusion models have become an important tool in studying how both noise in the chemical reaction process and the spatial movement of molecules influences the…

math.NA2012★ 97 cited

A Convergent Reaction-Diffusion Master Equation

Samuel A Isaacson

The reaction-diffusion master equation (RDME) is a lattice stochastic reaction-diffusion model that has been used to study spatially distributed cellular processes. The RDME is oft…