Zobrazeno 1 - 10
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pro vyhledávání: '"Wagner, Caleb G."'
Autor:
Wagner, Caleb G.
Tensorial neural networks (TNNs) combine the successes of multilinear algebra with those of deep learning to enable extremely efficient reduced-order models of high-dimensional problems. Here, I describe a deep neural network architecture that fuses
Externí odkaz:
http://arxiv.org/abs/2312.14979
This work is a unified study of stable and unstable steady states of 2D active nematic channel flow using the framework of Exact Coherent Structures (ECS). ECS are stationary, periodic, quasiperiodic, or traveling wave solutions of the governing equa
Externí odkaz:
http://arxiv.org/abs/2305.00939
Confined active nematics exhibit rich dynamical behavior, including spontaneous flows, periodic defect dynamics, and chaotic `active turbulence'. Here, we study these phenomena using the framework of Exact Coherent Structures, which has been successf
Externí odkaz:
http://arxiv.org/abs/2109.06455
Publikováno v:
J. Stat. Mech. (2022) 013208
An active Brownian particle is a minimal model for a self-propelled colloid in a dissipative environment. Experiments and simulations show that, in the presence of boundaries and obstacles, active Brownian particle systems approach nontrivial nonequi
Externí odkaz:
http://arxiv.org/abs/2109.06353
Publikováno v:
Phys. Rev. E 100, 042610 (2019)
We computationally study the behavior of underdamped active Brownian particles in a sheared channel geometry. Due to their underdamped dynamics, the particles carry momentum a characteristic distance away from the boundary before it is dissipated int
Externí odkaz:
http://arxiv.org/abs/1905.12706
Autor:
Wagner, Caleb G., Beals, Richard
Publikováno v:
J. Phys. A: Math. Theor. 52 115204 (2019)
A variety of boundary value problems in linear transport theory are expressed as a diffusion equation of the two-way, or forward-backward, type. In such problems boundary data are specified only on part of the boundary, which introduces several techn
Externí odkaz:
http://arxiv.org/abs/1808.04665
Autor:
Walsh, Lee, Wagner, Caleb G., Schlossberg, Sarah, Olson, Christopher, Baskaran, Aparna, Menon, Narayanan
Granular materials are an important physical realization of active matter. In vibration-fluidized granular matter, both diffusion and self-propulsion derive from the same collisional forcing, unlike many other active systems where there is a clean se
Externí odkaz:
http://arxiv.org/abs/1705.08385
Publikováno v:
J. Stat. Mech. (2017) 043203
We develop a formally exact technique for obtaining steady-state distributions of non-interacting active Brownian particles in a variety of systems. Our technique draws on results from the theory of two-way diffusion equations to solve the steady-sta
Externí odkaz:
http://arxiv.org/abs/1611.01834
Publikováno v:
Phys. Rev. Lett. 117, 148002 (2016)
Non-aligning self-propelled particles with purely repulsive excluded volume interactions undergo athermal motility-induced phase separation into a dilute gas and a dense cluster phase. Here, we use enhanced sampling computational methods and analytic
Externí odkaz:
http://arxiv.org/abs/1603.01362
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