62 citations · 84 across the 7 of their papers we have counts for
7 papers
Order and shape dependence of mechanical relaxation in proliferating active matter
Jonas Isensee, Lukas Hupe, Philip Bittihn
Collective dynamics in proliferating anisotropic particle systems arise from an interplay between growth, division, and mechanical interactions, often mediated by particle shape. I…
Prediction and control of geometry-induced nematic order in growing multicellular systems
Lukas Hupe, Jonas Isensee, Ramin Golestanian +1
In densely-packed two-dimensional systems of growing cells, such as rod-shaped bacteria, a number of experimental and numerical studies report distinct patterns of nematic orientat…
Sensitive particle shape dependence of growth-induced mesoscale nematic structure
Jonas Isensee, Philip Bittihn
Directed growth, anisotropic cell shapes, and confinement drive self-organization in multicellular systems. We investigate the influence of particle shape on the distribution and d…
A minimal model of smoothly dividing disk-shaped cells
Lukas Hupe, Yoav G. Pollack, Jonas Isensee +3
Replication through cell division is one of the most fundamental processes of life and a major driver of dynamics in systems ranging from bacterial colonies to embryogenesis, tissu…
Stress anisotropy in confined populations of growing rods
Jonas Isensee, Lukas Hupe, Ramin Golestanian +1
Order and alignment are ubiquitous in growing colonies of rod-shaped bacteria due to the nematic properties of the constituent particles. These effects are the result of the active…
Sustained unidirectional rotation of a self-organized DNA rotor on a nanopore
Xin Shi, Anna-Katharina Pumm, Jonas Isensee +6
Flow-driven rotary motors drive functional processes in human society such as windmills and water wheels. Although examples of such rotary motors also feature prominently in cell b…
Predicting Spatio-Temporal Time Series Using Dimension Reduced Local States
Jonas Isensee, George Datseris, Ulrich Parlitz
We present a method for both cross estimation and iterated time series prediction of spatio temporal dynamics based on reconstructed local states, PCA dimension reduction, and loca…