activity
20152025
most citedOn microscopic origins of generalized gradient structures

16 citations · 31 across the 9 of their papers we have counts for

collaborators

9 papers

math.PR2025

Hydrodynamic limits of collisions and fluxes in the exclusion process

Mario Ayala, D. R. Michiel Renger

We extend the usual hydrodynamic description of the symmetric exclusion process by keeping track of collision events corresponding to jumps into already occupied sites, thereby qua…

math-ph2021

Anisothermal Chemical Reactions: Onsager-Machlup and Macroscopic Fluctuation Theory

D. R. Michiel Renger

We study a micro and macroscopic model for chemical reactions with feedback between reactions and temperature of the solute. The first result concerns the quasipotential as the lar…

math.AP2021

Gradient flows for bounded linear evolution equations

D. R. Michiel Renger, Stefanie Schindler

We study linear evolution equations in separable Hilbert spaces defined by a bounded linear operator. We answer the question which of these equations can be written as a gradient f…

math-ph2021★ 4 cited

Variational structures beyond gradient flows: a macroscopic fluctuation-theory perspective

Robert I. A. Patterson, D. R. Michiel Renger, Upanshu Sharma

Macroscopic equations arising out of stochastic particle systems in detailed balance (called dissipative systems or gradient flows) have a natural variational structure, which can…

stat.ML2021★ 4 cited

Stein Variational Gradient Descent: many-particle and long-time asymptotics

Nikolas Nüsken, D. R. Michiel Renger

Stein variational gradient descent (SVGD) refers to a class of methods for Bayesian inference based on interacting particle systems. In this paper, we consider the originally propo…

math.CA2020

Fast reaction limits via -convergence of the Flux Rate Functional

Mark A. Peletier, D. R. Michiel Renger

We study the convergence of a sequence of evolution equations for measures supported on the nodes of a graph. The evolution equations themselves can be interpreted as the forward K…

cond-mat.stat-mech2020★ 7 cited

Dynamical Phase Transitions for Flows on Finite Graphs

Davide Gabrielli, D. R. Michiel Renger

We study the time-averaged flow in a model of particles that randomly hop on a finite directed graph. In the limit as the number of particles and the time window go to infinity but…

math-ph2019

Orthogonality of Fluxes in General Nonlinear Reaction Networks

Johannes Zimmer, D. R. Michiel Renger

We consider the chemical reaction networks and study currents in these systems. Reviewing recent decomposition of rate functionals from large deviation theory for Markov processes,…

math.AP2015★ 16 cited

On microscopic origins of generalized gradient structures

Matthias Liero, Alexander Mielke, Mark A. Peletier +1

Classical gradient systems have a linear relation between rates and driving forces. In generalized gradient systems we allow for arbitrary relations derived from general non-quadra…