S
Sho C. Takatori
Researcher at California Institute of Technology
Publications - 30
Citations - 1229
Sho C. Takatori is an academic researcher from California Institute of Technology. The author has contributed to research in topics: Active matter & Biology. The author has an hindex of 11, co-authored 19 publications receiving 972 citations. Previous affiliations of Sho C. Takatori include University of California, Santa Barbara & University of California, Berkeley.
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Swim pressure: stress generation in active matter.
TL;DR: The micromechanical basis for the swim stress is given and this new perspective can help analyze and exploit a wide class of active soft matter, from swimming bacteria to catalytic nanobots to molecular motors that activate the cellular cytoskeleton.
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Towards a thermodynamics of active matter
Sho C. Takatori,John F. Brady +1 more
TL;DR: This work uses the new swim pressure perspective to develop a simple theory for predicting phase separation in active matter and provides a generalization of thermodynamic concepts like the free energy and temperature for nonequilibrium active systems.
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Acoustic trapping of active matter
TL;DR: The novel use of an acoustic tweezer to confine self-propelled particles in two dimensions over distances large compared with the swimmers' run length is reported, and a near-harmonic trap is developed to demonstrate the crossover from weak confinement, where the probability density is Boltzmann-like, to strong confinement,Where the density is peaked along the perimeter.
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Forces, Stresses and the (Thermo?) Dynamics of Active Matter
Sho C. Takatori,John F. Brady +1 more
TL;DR: In this article, the authors discuss the forces that govern the motion of active Brownian microswimmers, the stress (or pressure) they generate, and the implication of these concepts on their collective behavior.
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A theory for the phase behavior of mixtures of active particles
Sho C. Takatori,John F. Brady +1 more
TL;DR: A simple mechanical theory is developed to study the phase behavior and "temperature" of a mixture of self-propelled particles and finds that different stability criteria predict in general different phase boundaries, facilitating considerations in simulations and experiments about which ensemble of variables are held fixed and varied.