气候变化领域集成服务门户(CCPortal): Data-driven quantitative modeling of bacterial active nematics

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DOI	10.1073/pnas.1812570116
	Data-driven quantitative modeling of bacterial active nematics
	Li H.; Shi X.-Q.; Huang M.; Chen X.; Xiao M.; Liu C.; Chaté H.; Zhang H.P.
发表日期	2019
ISSN	0027-8424
起始页码	777
结束页码	785
卷号	116 期号:3
英文摘要	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. © 2019 National Academy of Sciences. All Rights Reserved.
英文关键词	Active nematics; Bacteria collective motion; Quantitative modeling; Topological defects
语种	英语
scopus关键词	article; motion; quantitative analysis; suspension; hydrodynamics; Serratia marcescens; theoretical model; Hydrodynamics; Models, Theoretical; Serratia marcescens
来源期刊	Proceedings of the National Academy of Sciences of the United States of America
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/160384
作者单位	Li, H., School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, 200240, China, Institute of Natural Sciences, Shanghai Jiao Tong University, Shanghai, 200240, China; Shi, X.-Q., Center for Soft Condensed Matter Physics and, Interdisciplinary Research and School of Physical Science and Technology, Soochow University, Suzhou, 215006, China, Service de Physique de l’Etat Condensé, Commissariat à l’Energie Atomique (CEA), CNRS, Université Paris-Saclay, CEA-Saclay, Gif-sur-Yvette, 91191, France; Huang, M., School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, 200240, China, Institute of Natural Sciences, Shanghai Jiao Tong University, Shanghai, 200240, China; Chen, X., School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, 200240, China, Institute of Natural Sciences, Shanghai Jiao Tong University, Shanghai, 200240, China; Xiao, M., Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, ...
推荐引用方式 GB/T 7714	Li H.,Shi X.-Q.,Huang M.,et al. Data-driven quantitative modeling of bacterial active nematics[J],2019,116(3).
APA	Li H..,Shi X.-Q..,Huang M..,Chen X..,Xiao M..,...&Zhang H.P..(2019).Data-driven quantitative modeling of bacterial active nematics.Proceedings of the National Academy of Sciences of the United States of America,116(3).
MLA	Li H.,et al."Data-driven quantitative modeling of bacterial active nematics".Proceedings of the National Academy of Sciences of the United States of America 116.3(2019).