Self-concentration and large-scale coherence in bacterial dynamics.
By C. Dombrowski, Luis H. Cisneros, S. Chatkaew, Raymond E. Goldstein, John O. Kessler. Physical Review Letters, 2004
892 citations recorded by the source corpus.
Subfields: Condensed Matter Physics, Global and Planetary Change, Ocean Engineering
View Paper: https://www.semanticscholar.org/paper/f9124f2ba22566a42c3ea74d13618379542d5d29
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Condensed Matter Physics
- David Saintillan
- Eric Lauga
- Michael Winkler
- Johannes Lankeit
- Alexander Lorz
- T. Pedley
- Youshan Tao
- Zhaoyin Xiang
In Global and Planetary Change
- Michael Winkler
- Alexander Lorz
- Johannes Lankeit
- Eric Lauga
- Raymond E. Goldstein
- M. Cristina Marchetti
In Ocean Engineering
- Michael Winkler
- Eric Lauga
- David Saintillan
- Alexander Lorz
- T. Pedley
- Youshan Tao
- T. Powers
- Johannes Lankeit
Citations in the corpus
- Fluid dynamics and noise in bacterial cell–cell and cell–surface scattering (2011, background): “Collective behavior of bacteria, such as biofilm formation [1], swarming [2] and turbulence-like motion in concentrated suspensions [3, 4], has profound effects on foraging, signaling, and transport of metabolites [5, 6], and can be of great biomedical importance [7, 8].”
- Active Particles in Complex and Crowded Environments (2016, background): “A particularly interesting manifestation of collective behavior in microscopic active matter systems is the emergence of turbulent motion with the continuous formation and decay of whirls, jets, and vortices in dense solutions of active particles (Mendelson et al., 1999; Dombrowski et al., 2004; Rie”
- The statistical physics of active matter: From self-catalytic colloids to living cells (2017, background): “loids are canonical examples of active particles at the micro-scale, with typical self-propulsion speed of the order of 10 μm/s [4, 5, 6].”
- The hydrodynamics of swimming microorganisms (2008, background): “similar to those observed experimentally [173–180] (see [197]”
- Depleting the signal: Analysis of chemotaxis‐consumption models—A survey (2023, background): “𝑢 𝑡 = Δ𝑢 − ∇ ⋅ (𝑢∇𝑣), where the signal is produced by the cells under consideration and not “only” consumed, (CC1) along with its variants received renewed interest, when in the wake of experimental observations concerned with bacteria in drops of water, 8,9 starting from Refs.”
- Global Large-Data Solutions in a Chemotaxis-(Navier–)Stokes System Modeling Cellular Swimming in Fluid Drops (2012, background): “1 Introduction When bacteria of the species Bacillus subtilis are suspended in water, it can be observed experimentally that spatial patterns may spontaneously emerge from initially almost homogeneous distributions of bacteria ([3]).”