activity
20042023
most citedControlling spatiotemporal chaos in oscillatory reaction-diffusion systems by time-delay autosynchronization

40 citations · 143 across the 15 of their papers we have counts for

collaborators

16 papers

stat.ME2023

Stochastic Reaction-Diffusion Systems in Biophysics: Towards a Toolbox for Quantitative Model Evaluation

Gregor Pasemann, Carsten Beta, Wilhelm Stannat

We develop a statistical toolbox for a quantitative model evaluation of stochastic reaction-diffusion systems modeling space-time evolution of biophysical quantities on the intrace…

physics.bio-ph2023★ 4 cited

Cargo size limits and forces of cell-driven microtransport

Setareh Sharifi Panah, Robert Großmann, Valentino Lepro +1

The integration of motile cells into biohybrid microrobots offers unique properties such as sensitive responses to external stimuli, resilience, and intrinsic energy supply. Here w…

physics.bio-ph2023

A minimal physical model for curvotaxis driven by curved protein complexes at the cell's leading edge

Raj Kumar Sadhu, Marine Luciano, Wang Xi +12

Cells often migrate on curved surfaces inside the body, such as curved tissues, blood vessels or highly curved protrusions of other cells. Recent \textit{in-vitro} experiments prov…

q-bio.CB2022

Three-component contour dynamics model to simulate and analyze amoeboid cell motility

Daniel Schindler, Ted Moldenhawer, Carsten Beta +2

Amoeboid cell motility is relevant in a wide variety of biomedical applications such as wound healing, cancer metastasis, and embryonic morphogenesis. It is characterized by pronou…

physics.bio-ph2022

Spontaneous transitions between amoeboid and keratocyte-like modes of migration

T. Moldenhawer, E. Moreno, D. Schindler +5

The motility of adherent eukaryotic cells is driven by the dynamics of the actin cytoskeleton. Despite the common force-generating actin machinery, different cell types often show…

stat.ML2022★ 10 cited

Black and Gray Box Learning of Amplitude Equations: Application to Phase Field Systems

Felix P. Kemeth, Sergio Alonso, Blas Echebarria +3

We present a data-driven approach to learning surrogate models for amplitude equations, and illustrate its application to interfacial dynamics of phase field systems. In particular…