ArticleProceedings of the National Academy of Sciences of the United States of America2019
Data-driven quantitative modeling of bacterial active nematics.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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Who cites it
33 citing papers in PubMed, 144 citations in OpenAlex.
- A Cellular Automaton-Based Computational Model for Fluid Shear Stress-Induced Differentiation and Migration of Osteoprogenitor Cells in a Microfluidic Chip.Bioengineering (Basel, Switzerland) · 2026Article
- Boundary geometry controls a topological defect transition that determines lumen nucleation in embryonic development.Nature materials · 2026Article
- Machine learning multiscale collective cell dynamics: From single-cell characterization to multicellular monolayer modeling.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- From Polar Clusters to Active Nematics: Experimental Signatures of Swarming Dynamics in Bacterial Monolayers.Materials (Basel, Switzerland) · 2026Article
- Swashing: a propulsion-independent form of bacterial surface migration.Journal of bacteriology · 2025Article
- Hidden order in active nematic defects.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Sociohydrodynamics: Data-driven modeling of social behavior.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Local polar order controls mechanical stress and triggers layer formation in Myxococcus xanthus colonies.Nature communications · 2025Article
- Collective self-caging of active filaments in virtual confinement.Nature communications · 2024Article
- Scaling Transition of Active Turbulence from Two to Three Dimensions.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Swashing motility: A novel propulsion-independent mechanism for surface migration inbioRxiv : the preprint server for biology · 2024Article
- Topological defects in multi-layered swarming bacteria.Soft matter · 2024Article
- Design rules for controlling active topological defects.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Machine learning topological defects in confluent tissues.Biophysical reports · 2024Article
- Probing active nematics with in situ microfabricated elastic inclusions.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Article
- Physically informed data-driven modeling of active nematics.Science advances · 2023Article
- Learning hydrodynamic equations for active matter from particle simulations and experiments.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Topological defect-mediated morphodynamics of active-active interfaces.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Escaping speed of bacteria from confinement.Biophysical journal · 2022Article
Corrections and comments
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Authors and funding
8 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Active matter comprises individual units that convert energy into mechanical motion. In many examples, such as bacterial systems and biofilament assays, constituent units are elongated and can give rise to local nematic orientational order. Such "active nematics" systems have attracted much attention from both theorists and experimentalists. However, despite intense research efforts, data-driven quantitative modeling has not been achieved, a situation mainly due to the lack of systematic experimental data and to the large number of parameters of current models. Here, we introduce an active nematics system made of swarming filamentous bacteria. We simultaneously measure orientation and velocity fields and show that the complex spatiotemporal dynamics of our system can be quantitatively reproduced by a type of microscopic model for active suspensions whose important parameters are all estimated from comprehensive experimental data. This provides unprecedented access to key effective parameters and mechanisms governing active nematics. Our approach is applicable to different types of dense suspensions and shows a path toward more quantitative active matter research.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.