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Journal articles on the topic 'Active Matter Physics'

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Published: 6 September 2023

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1

Dauchot, Olivier, and Hartmut Löwen. "Chemical Physics of Active Matter." Journal of Chemical Physics 151, no. 11 (September 21, 2019): 114901. http://dx.doi.org/10.1063/1.5125902.

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2

SUGI, Takuma, Hiroshi ITO, and Ken H. NAGAI. "Pattern Formations in Active Matter Physics." Seibutsu Butsuri 60, no. 1 (2020): 006–12. http://dx.doi.org/10.2142/biophys.60.006.

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3

De Magistris, G., and D. Marenduzzo. "An introduction to the physics of active matter." Physica A: Statistical Mechanics and its Applications 418 (January 2015): 65–77. http://dx.doi.org/10.1016/j.physa.2014.06.061.

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4

Ramaswamy, Sriram. "Active matter." Journal of Statistical Mechanics: Theory and Experiment 2017, no. 5 (May 22, 2017): 054002. http://dx.doi.org/10.1088/1742-5468/aa6bc5.

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5

Kempf, Felix, Romain Mueller, Erwin Frey, Julia M. Yeomans, and Amin Doostmohammadi. "Active matter invasion." Soft Matter 15, no. 38 (2019): 7538–46. http://dx.doi.org/10.1039/c9sm01210a.

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6

Sugi, Takuma, Hiroshi Ito, and Ken H. Nagai. "Collective pattern formations of animals in active matter physics." Biophysics and Physicobiology 18 (2021): 254–62. http://dx.doi.org/10.2142/biophysico.bppb-v18.028.

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7

Tarantola, Marco, Tim Meyer, Christoph F. Schmidt, and Wolfram-Hubertus Zimmermann. "Physics meets medicine - At the heart of active matter." Progress in Biophysics and Molecular Biology 144 (July 2019): 1–2. http://dx.doi.org/10.1016/j.pbiomolbio.2019.03.009.

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8

Chaté, Hugues. "Dry Aligning Dilute Active Matter." Annual Review of Condensed Matter Physics 11, no. 1 (March 10, 2020): 189–212. http://dx.doi.org/10.1146/annurev-conmatphys-031119-050752.

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Active matter physics is about systems in which energy is dissipated at some local level to produce work. This is a generic situation, particularly in the living world but not only. What is at stake is the understanding of the fascinating, sometimes counterintuitive, emerging phenomena observed, from collective motion in animal groups to in vitro dynamical self-organization of motor proteins and biofilaments. Dry aligning dilute active matter (DADAM) is a corner of the multidimensional, fast-growing domain of active matter that has both historical and theoretical importance for the entire field. This restrictive setting only involves self-propulsion/activity, alignment, and noise, yet unexpected collective properties can emerge from it. This review provides a personal but synthetic and coherent overview of DADAM, focusing on the collective-level phenomenology of simple active particle models representing basic classes of systems and on the solutions of the continuous hydrodynamic theories that can be derived from them. The obvious fact that orientational order is advected by the aligning active particles at play is shown to be at the root of the most striking properties of DADAM systems: ( a) direct transitions to orientational order are not observed; ( b) instead generic phase separation occurs with a coexistence phase involving inhomogeneous nonlinear structures; ( c) orientational order, which can be long range even in two dimensions, is accompanied by long-range correlations and anomalous fluctuations; ( d) defects are not point-like, topologically bound objects.
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9

Das, Moumita, Christoph F. Schmidt, and Michael Murrell. "Introduction to Active Matter." Soft Matter 16, no. 31 (2020): 7185–90. http://dx.doi.org/10.1039/d0sm90137g.

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10

Fu, Yulei, Hengao Yu, Xinli Zhang, Paolo Malgaretti, Vimal Kishore, and Wendong Wang. "Microscopic Swarms: From Active Matter Physics to Biomedical and Environmental Applications." Micromachines 13, no. 2 (February 13, 2022): 295. http://dx.doi.org/10.3390/mi13020295.

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Microscopic swarms consisting of, e.g., active colloidal particles or microorganisms, display emergent behaviors not seen in equilibrium systems. They represent an emerging field of research that generates both fundamental scientific interest and practical technological value. This review seeks to unite the perspective of fundamental active matter physics and the perspective of practical applications of microscopic swarms. We first summarize experimental and theoretical results related to a few key aspects unique to active matter systems: the existence of long-range order, the prediction and observation of giant number fluctuations and motility-induced phase separation, and the exploration of the relations between information and order in the self-organizing patterns. Then we discuss microscopic swarms, particularly microrobotic swarms, from the perspective of applications. We introduce common methods to control and manipulate microrobotic swarms and summarize their potential applications in fields such as targeted delivery, in vivo imaging, biofilm removal, and wastewater treatment. We aim at bridging the gap between the community of active matter physics and the community of micromachines or microrobotics, and in doing so, we seek to inspire fruitful collaborations between the two communities.
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11

Burkholder, Eric W., and John F. Brady. "Fluctuation-dissipation in active matter." Journal of Chemical Physics 150, no. 18 (May 14, 2019): 184901. http://dx.doi.org/10.1063/1.5081725.

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12

Pietzonka, Patrick. "The oddity of active matter." Nature Physics 17, no. 11 (November 2021): 1193–94. http://dx.doi.org/10.1038/s41567-021-01318-9.

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13

Marchetti, M. C., J. F. Joanny, S. Ramaswamy, T. B. Liverpool, J. Prost, Madan Rao, and R. Aditi Simha. "Hydrodynamics of soft active matter." Reviews of Modern Physics 85, no. 3 (July 19, 2013): 1143–89. http://dx.doi.org/10.1103/revmodphys.85.1143.

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14

Jülicher, Frank, Stephan W. Grill, and Guillaume Salbreux. "Hydrodynamic theory of active matter." Reports on Progress in Physics 81, no. 7 (June 6, 2018): 076601. http://dx.doi.org/10.1088/1361-6633/aab6bb.

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15

Speck, Thomas. "Stochastic thermodynamics for active matter." EPL (Europhysics Letters) 114, no. 3 (May 1, 2016): 30006. http://dx.doi.org/10.1209/0295-5075/114/30006.

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16

Sykes, Cécile. "Living Soft Matter Physics : active protein networks govern cell shape changes." Europhysics News 51, no. 5 (September 2020): 18. http://dx.doi.org/10.1051/epn/2020501.

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17

Apaza, Leonardo, and Mario Sandoval. "Active matter on Riemannian manifolds." Soft Matter 14, no. 48 (2018): 9928–36. http://dx.doi.org/10.1039/c8sm01034j.

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18

Agrawal, Ankit, Nirmalendu Ganai, Surajit Sengupta, and Gautam I. Menon. "Chromatin as active matter." Journal of Statistical Mechanics: Theory and Experiment 2017, no. 1 (January 13, 2017): 014001. http://dx.doi.org/10.1088/1742-5468/aa5287.

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19

Ota, Yasutomo, Kenta Takata, Tomoki Ozawa, Alberto Amo, Zhetao Jia, Boubacar Kante, Masaya Notomi, Yasuhiko Arakawa, and Satoshi Iwamoto. "Active topological photonics." Nanophotonics 9, no. 3 (January 28, 2020): 547–67. http://dx.doi.org/10.1515/nanoph-2019-0376.

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AbstractTopological photonics emerged as a novel route to engineer the flow of light. Topologically protected photonic edge modes, which are supported at the perimeters of topologically nontrivial insulating bulk structures, are of particular interest as they may enable low-loss optical waveguides immune to structural disorder. Very recently, there has been a sharp rise of interest in introducing gain materials into such topological photonic structures, primarily aiming at revolutionizing semiconductor lasers with the aid of physical mechanisms existing in topological physics. Examples of remarkable realizations are topological lasers with unidirectional light output under time-reversal symmetry breaking and topologically protected polariton and micro/nanocavity lasers. Moreover, the introduction of gain and loss provides a fascinating playground to explore novel topological phases, which are in close relevance to non-Hermitian and parity-time symmetric quantum physics and are, in general, difficult to access using fermionic condensed matter systems. Here, we review the cutting-edge research on active topological photonics, in which optical gain plays a pivotal role. We discuss recent realizations of topological lasers of various kinds, together with the underlying physics explaining the emergence of topological edge modes. In such demonstrations, the optical modes of the topological lasers are determined by the dielectric structures and support lasing oscillation with the help of optical gain. We also address recent research on topological photonic systems in which gain and loss, themselves, essentially influence topological properties of the bulk systems. We believe that active topological photonics provides powerful means to advance micro/nanophotonics systems for diverse applications and topological physics, itself, as well.
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20

Jülicher, Frank. "Statistical physics of active processes in cells." Physica A: Statistical Mechanics and its Applications 369, no. 1 (September 2006): 185–200. http://dx.doi.org/10.1016/j.physa.2006.04.008.

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21

Liverpool, Tanniemola B. "Active gels: where polymer physics meets cytoskeletal dynamics." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 364, no. 1849 (October 18, 2006): 3335–55. http://dx.doi.org/10.1098/rsta.2006.1897.

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The cytoskeleton provides eukaryotic cells with mechanical support and helps them to perform their biological functions. It is predominantly composed of a network of semiflexible polar protein filaments. In addition, there are many accessory proteins that bind to these filaments, regulate their assembly, link them to organelles and provide the motors that either move the organelles along the filaments or move the filaments themselves. A natural approach to such a multiple particle system is the study of its collective excitations. I review some recent work on the theoretical description of the emergence of a number of particular collective motile behaviours from the interactions between different elements of the cytoskeleton. In order to do this, close analogies have been made to the study of driven soft condensed matter systems. However, it emerges naturally that a description of these soft active motile systems gives rise to new types of collective phenomena not seen in conventional soft systems. I discuss the implications of these results and perspectives for the future.
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22

Dulaney, Austin R., Stewart A. Mallory, and John F. Brady. "The “isothermal” compressibility of active matter." Journal of Chemical Physics 154, no. 1 (January 7, 2021): 014902. http://dx.doi.org/10.1063/5.0029364.

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23

Gutierrez-Martinez, Luis L., and Mario Sandoval. "Inertial effects on trapped active matter." Journal of Chemical Physics 153, no. 4 (July 28, 2020): 044906. http://dx.doi.org/10.1063/5.0011270.

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24

Chen Lei-Ming. "Hydrodynamic theory of dry active matter." Acta Physica Sinica 65, no. 18 (2016): 186401. http://dx.doi.org/10.7498/aps.65.186401.

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25

Park, Y. S., S. A. Sabbagh, J. G. Bak, J. M. Bialek, J. W. Berkery, S. G. Lee, and Y. K. Oh. "Resistive wall mode active control physics design for KSTAR." Physics of Plasmas 21, no. 1 (January 2014): 012513. http://dx.doi.org/10.1063/1.4862140.

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26

Workamp, Marcel, Gustavo Ramirez, Karen E. Daniels, and Joshua A. Dijksman. "Symmetry-reversals in chiral active matter." Soft Matter 14, no. 27 (2018): 5572–80. http://dx.doi.org/10.1039/c8sm00402a.

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A swarm of active-spinner particles displays a reversal of their swarming direction as their packing density is increased, an effect that can be enhanced by adding geometric friction between the particles.
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27

Speck, Thomas. "Collective forces in scalar active matter." Soft Matter 16, no. 11 (2020): 2652–63. http://dx.doi.org/10.1039/d0sm00176g.

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28

Turlier, Hervé, and Timo Betz. "Unveiling the Active Nature of Living-Membrane Fluctuations and Mechanics." Annual Review of Condensed Matter Physics 10, no. 1 (March 10, 2019): 213–32. http://dx.doi.org/10.1146/annurev-conmatphys-031218-013757.

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Soft-condensed matter physics has provided, in the past decades, many of the relevant concepts and methods allowing successful description of living cells and biological tissues. This recent quantitative physical description of biological systems has profoundly advanced our understanding of life, which is shifting from a descriptive to a predictive level. Like other active materials investigated in condensed matter physics, biological materials still pose great challenges to modern physics as they form a specific class of nonequilibrium systems. Actively driven membranes have been studied for more than two decades, taking advantage of rapid progress in membrane physics and in the experimental development of reconstituted active membranes. The physical description of activity within living biological membranes remains, however, a key challenge that animates a dynamic research community, bringing together physicists and biologists. Here, we first review the past two decades of experimental and theoretical advances that enabled the characterization of mechanical properties and nonequilibrium fluctuations in active membranes. We distinguish active processes originating from membrane proteins or from external interactions, such as cytoskeletal forces. Then, we focus on the emblematic case of red blood cell flickering, the active origin of which has been debated for decades until recently. We finally close this review by discussing future challenges in this ever more interdisciplinary field.
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29

Doostmohammadi, Amin, and Julia M. Yeomans. "Coherent motion of dense active matter." European Physical Journal Special Topics 227, no. 17 (March 2019): 2401–11. http://dx.doi.org/10.1140/epjst/e2019-700109-x.

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30

Gompper, Gerhard, Roland G. Winkler, Thomas Speck, Alexandre Solon, Cesare Nardini, Fernando Peruani, Hartmut Löwen, et al. "The 2020 motile active matter roadmap." Journal of Physics: Condensed Matter 32, no. 19 (February 14, 2020): 193001. http://dx.doi.org/10.1088/1361-648x/ab6348.

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31

Zharov, Alexander, Vanessa Fierro, and Alain Celzard. "Magnetohydrodynamic self-propulsion of active matter agents." Applied Physics Letters 117, no. 10 (September 8, 2020): 104101. http://dx.doi.org/10.1063/5.0018692.

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32

Fodor, Étienne, and M. Cristina Marchetti. "The statistical physics of active matter: From self-catalytic colloids to living cells." Physica A: Statistical Mechanics and its Applications 504 (August 2018): 106–20. http://dx.doi.org/10.1016/j.physa.2017.12.137.

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33

Wang, Wei, Xianglong Lv, Jeffrey L. Moran, Shifang Duan, and Chao Zhou. "A practical guide to active colloids: choosing synthetic model systems for soft matter physics research." Soft Matter 16, no. 16 (2020): 3846–68. http://dx.doi.org/10.1039/d0sm00222d.

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34

Metselaar, Luuk, Amin Doostmohammadi, and Julia M. Yeomans. "Topological states in chiral active matter: Dynamic blue phases and active half-skyrmions." Journal of Chemical Physics 150, no. 6 (February 14, 2019): 064909. http://dx.doi.org/10.1063/1.5085282.

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35

Hu, D. L., S. Phonekeo, E. Altshuler, and F. Brochard-Wyart. "Entangled active matter: From cells to ants." European Physical Journal Special Topics 225, no. 4 (July 2016): 629–49. http://dx.doi.org/10.1140/epjst/e2015-50264-4.

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36

Li, Shengkai, Bahnisikha Dutta, Sarah Cannon, Joshua J. Daymude, Ram Avinery, Enes Aydin, Andréa W. Richa, Daniel I. Goldman, and Dana Randall. "Programming active cohesive granular matter with mechanically induced phase changes." Science Advances 7, no. 17 (April 2021): eabe8494. http://dx.doi.org/10.1126/sciadv.abe8494.

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At the macroscale, controlling robotic swarms typically uses substantial memory, processing power, and coordination unavailable at the microscale, e.g., for colloidal robots, which could be useful for fighting disease, fabricating intelligent textiles, and designing nanocomputers. To develop principles that can leverage physical interactions and thus be used across scales, we take a two-pronged approach: a theoretical abstraction of self-organizing particle systems and an experimental robot system of active cohesive granular matter that intentionally lacks digital electronic computation and communication, using minimal (or no) sensing and control. As predicted by theory, as interparticle attraction increases, the collective transitions from dispersed to a compact phase. When aggregated, the collective can transport non-robot “impurities,” thus performing an emergent task driven by the physics underlying the transition. These results reveal a fruitful interplay between algorithm design and active matter robophysics that can result in principles for programming collectives without the need for complex algorithms or capabilities.
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37

Klamser, Juliane U., Sebastian C. Kapfer, and Werner Krauth. "A kinetic-Monte Carlo perspective on active matter." Journal of Chemical Physics 150, no. 14 (April 14, 2019): 144113. http://dx.doi.org/10.1063/1.5085828.

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38

Matsuda, Yui, Kota Ikeda, Yumihiko Ikura, Hiraku Nishimori, and Nobuhiko J. Suematsu. "Dynamical Quorum Sensing in Non-Living Active Matter." Journal of the Physical Society of Japan 88, no. 9 (September 15, 2019): 093002. http://dx.doi.org/10.7566/jpsj.88.093002.

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39

Kang, Jingyu, Sanggeun Song, and Seungsoo Hahn. "Effects of Velocity Fluctuation on Active Matter Diffusion." Journal of the Korean Physical Society 73, no. 3 (August 2018): 242–48. http://dx.doi.org/10.3938/jkps.73.242.

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40

Morris, Richard G., and Alpha S. Yap. "Publisher Correction: Active matter: Wetting by living tissues." Nature Physics 15, no. 1 (October 8, 2018): 103. http://dx.doi.org/10.1038/s41567-018-0337-z.

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41

Reichhardt, C. J. O., and C. Reichhardt. "Avalanche dynamics for active matter in heterogeneous media." New Journal of Physics 20, no. 2 (February 8, 2018): 025002. http://dx.doi.org/10.1088/1367-2630/aaa392.

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42

Das, Subir K. "Structure and dynamics in active matter systems." Soft Materials 19, no. 3 (July 3, 2021): 263–66. http://dx.doi.org/10.1080/1539445x.2021.1938609.

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43

Schirber, Michael. "Active Matter Turns Pinwheels." Physics 16 (June 9, 2023). http://dx.doi.org/10.1103/physics.16.97.

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44

Bartolo, Denis. "Active-Matter Thermodynamics Under Pressure." Physics 10 (July 12, 2017). http://dx.doi.org/10.1103/physics.10.78.

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45

Paoluzzi, Matteo. "Measuring Entropy in Active-Matter Systems." Physics 15 (November 21, 2022). http://dx.doi.org/10.1103/physics.15.179.

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46

Bertin, Eric. "An Equation of State for Active Matter." Physics 8 (May 11, 2015). http://dx.doi.org/10.1103/physics.8.44.

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47

Wright, Katherine. "Highlights from the Physics of Active Matter Conference." Physics 8 (July 15, 2015). http://dx.doi.org/10.1103/physics.8.67.

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48

Aranson, Igor. "Bacterial Active Matter." Reports on Progress in Physics, May 23, 2022. http://dx.doi.org/10.1088/1361-6633/ac723d.

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Abstract Bacteria are among the oldest and most abundant species on Earth. Bacteria successfully colonize diverse habitats and play a significant role in the oxygen, carbon, and nitrogen cycles. They also form human and animal microbiota and may become sources of pathogens and a cause of many infectious diseases. Suspensions of motile bacteria constitute one of the most studied examples of active matter: a broad class of non-equilibrium systems converting energy from the environment (e.g., chemical energy of the nutrient) into mechanical motion. Concentrated bacterial suspensions, often termed active fluids, exhibit complex collective behavior, such as large-scale turbulent-like motion (so-called bacterial turbulence) and swarming. The activity of bacteria also affects the effective viscosity and diffusivity of the suspension. This work reports on the progress in bacterial active matter from the physics viewpoint. It covers the key experimental results, provides a critical assessment of major theoretical approaches, and addresses the effects of visco-elasticity, liquid crystallinity, and external confinement on collective behavior in bacterial suspensions.
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49

Ghosh, Subhadip, Ambika Somasundar, and Ayusman Sen. "Enzymes as Active Matter." Annual Review of Condensed Matter Physics 12, no. 1 (November 23, 2020). http://dx.doi.org/10.1146/annurev-conmatphys-061020-053036.

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Nature has designed multifaceted cellular structures to support life. Cells contain a vast array of enzymes that collectively perform essential tasks by harnessing energy from chemical reactions. Despite the complexity, intra- and intercellular motility at low Reynolds numbers remain the epicenter of life. In the past decade, detailed investigations on enzymes that are freely dispersed in solution have revealed concentration-dependent enhanced diffusion and chemotactic behavior during catalysis. Theoretical calculations and simulations have determined the magnitude of the impulsive force per turnover; however, an unequivocal consensus regarding the mechanism of enhanced diffusion has not been reached. Furthermore, this mechanical force can be transferred from the active enzymes to inert particles or surrounding fluid, thereby providing a platform for the design of biomimetic systems. Understanding the factors governing enzyme motion would help us to understand organization principles for dissipative self-assembly and the fabrication of molecular machines. The purpose of this article is to review the different classes of enzyme motility and discuss the possible mechanisms as gleaned from experimental observations and theoretical modeling. Finally, we focus on the relevance of enzyme motion in biology and its role in future applications. Expected final online publication date for the Annual Review of Condensed Matter Physics, Volume 12 is March 10, 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.
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50

Carlson, Erika K. "Active Matter that Mimics Turbulence in Space and Time." Physics 13 (June 22, 2020). http://dx.doi.org/10.1103/physics.13.s73.

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