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Article Dans Une Revue Proceedings of the National Academy of Sciences of the United States of America Année : 2018

Data-driven quantitative modeling of bacterial active nematics

Résumé

Significance Active nematics are nonequilibrium fluids consisting of elongated units driven at the individual scale. They spontaneously exhibit complex spatiotemporal dynamics and have attracted the attention of scientists from many disciplines. Here, we introduce an experimental system (made of filamentous bacteria) and a type of microscopic model for active nematics. Simultaneous measurements of orientation and velocity fields yield comprehensive experimental data that can be used to identify optimal values for all important parameters in the model. At these optimal parameters, the model quantitatively reproduces all experimentally measured features. This, in turn, reveals key processes governing active nematics. Our versatile approach successfully combines quantitative experiments and data-driven modeling; it can be used to study other dense active systems.

Dates et versions

cea-04344800 , version 1 (14-12-2023)

Identifiants

Citer

He Li, Xia-Qing Shi, Mingji Huang, Xiao Chen, Minfeng Xiao, et al.. Data-driven quantitative modeling of bacterial active nematics. Proceedings of the National Academy of Sciences of the United States of America, 2018, 116 (3), pp.777-785. ⟨10.1073/pnas.1812570116⟩. ⟨cea-04344800⟩
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