activity
20152020
collaborators

6 papers

math.AP2020

Large-scale dynamics of self-propelled particles moving through obstacles: model derivation and pattern formation

Pedro Aceves-Sanchez, Pierre Degond, Eric E. Keaveny +3

We model and study the patterns created through the interaction of collectively moving self-propelled particles (SPPs) and elastically tethered obstacles. Simulations of an individ…

math.AP2020

Kinetic Modelling of Colonies of Myxobacteria

Sabine Hittmeir, Laura Kanzler, Angelika Manhart +1

A new kinetic model for the dynamics of myxobacteria colonies on flat surfaces is derived formally, and first analytical and numerical results are presented. The model is based on…

math.AT2019

Analyzing Collective Motion with Machine Learning and Topology

Dhananjay Bhaskar, Angelika Manhart, Jesse Milzman +4

We use topological data analysis and machine learning to study a seminal model of collective motion in biology [D'Orsogna et al., Phys. Rev. Lett. 96 (2006)]. This model describes…

physics.bio-ph2019

Centering and symmetry breaking in confined contracting actomyosin networks

Niv Ierushalmi, Maya Malik-Garbi, Angelika Manhart +4

Centering and decentering of cellular components is essential for internal organization of cells and their ability to perform basic cellular functions such as division and motility…

math.AP2018

Counter-propagating waves in a system of transport-reaction equations

Angelika Manhart

Hyperbolic transport-reaction equations are abundant in the description of movement of motile organisms. Here, we focus on system of four coupled transport-reaction equations that…

q-bio.CB2015

An Extended Filament Based Lamellipodium Model Produces Various Moving Cell Shapes in the Presence of Chemotactic Signals

Angelika Manhart, Christian Schmeiser, Nikolaos Sfakianakis +1

The Filament Based Lamellipodium Model (FBLM) is a two-phase two-dimensional continuum model, describing the dynamcis of two interacting families of locally parallel actin filament…