English

Physically-informed data-driven modeling of active nematics

Soft Condensed Matter 2022-10-19 v4 Data Analysis, Statistics and Probability Fluid Dynamics

Abstract

A continuum description is essential for understanding a variety of collective phenomena in active matter. However, building quantitative continuum models of active matter from first principles can be extremely challenging due to both the gaps in our knowledge and the complicated structure of nonlinear interactions. Here we use a novel physically-informed data-driven approach to construct a complete mathematical model of an active nematic from experimental data describing kinesin-driven microtubule bundles confined to an oil-water interface. We find that the structure of the model is similar to the Leslie-Ericksen and Beris-Edwards models, but there are significant and important differences. Rather unexpectedly, elastic effects are found to play no role in the experiments considered, with the dynamics controlled entirely by the balance between active stresses and friction stresses.

Keywords

Cite

@article{arxiv.2202.12853,
  title  = {Physically-informed data-driven modeling of active nematics},
  author = {Matthew Golden and Roman Grigoriev and Jyothishraj Nambisan and Alberto Fernandez-Nieves},
  journal= {arXiv preprint arXiv:2202.12853},
  year   = {2022}
}

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Supplemental videos can be found at https://cns.gatech.edu/roman/an/

R2 v1 2026-06-24T09:54:14.075Z