activity
20022026
most citedModulation Equations: Stochastic Bifurcation in Large Domains

38 citations · 45 across the 15 of their papers we have counts for

collaborators

15 papers

math.NA2026

Numerical Study of a Surface Growth Model with Singular Noise

Dirk Blömker, David Buchberger, Johannes Rimmele

We study a stochastic model for epitaxial thin-film growth driven by spatially rough additive noise in a regime where the noise is singular and regularization via truncation in Fou…

math.NA2025

Numerical approximation of nonlinear fourth-order SPDEs with additive space-time white noise

Dirk Blömker, Chengcheng Ling, Johannes Rimmele

We consider the strong numerical approximation for a fourth-order stochastic nonlinear SPDE driven by space-time white noise on {}-dimensional torus. We consider its full…

math.PR2023

Stabilization by rough noise for an epitaxial growth model

Dirk Blömker, Johannes Rimmele

In this article we study a model from epitaxial thin-film growth. It was originally introduced as a phenomenological model of growth in the presence of a Schwoebbel barrier, where…

math.NA2021★ 1 cited

Continuous time limit of the stochastic ensemble Kalman inversion: Strong convergence analysis

Dirk Blömker, Claudia Schillings, Philipp Wacker +1

The Ensemble Kalman inversion (EKI) method is a method for the estimation of unknown parameters in the context of (Bayesian) inverse problems. The method approximates the underlyin…

math.DS2019★ 1 cited

The impact of multiplicative noise in SPDEs close to bifurcation via amplitude equations

Hongbo Fu, Dirk Blömker

This article deals with the approximation of a stochastic partial differential equation (SPDE) via amplitude equations. We consider an SPDE with a cubic nonlinearity perturbed by a…

math.DS2019

Stochastic Cahn-Hilliard equation in higher space dimensions: The motion of bubbles

Alexander Schindler, Dirk Blömker

We study the stochastic motion of a droplet in a stochastic Cahn-Hilliard equation in the sharp interface limit for sufficiently small noise. The key ingredient in the proof is a d…