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pro vyhledávání: '"Floryan, Daniel"'
The process by which particles are entrained by the fluid in Rayleigh-B\'{e}nard convection is studied by means of particle-resolved numerical simulations in a periodic domain at a Rayleigh number of $10^7$. The fluid Prandtl number is 1 and the part
Externí odkaz:
http://arxiv.org/abs/2410.02886
Autor:
Floryan, Daniel
When neural networks are trained from data to simulate the dynamics of physical systems, they encounter a persistent challenge: the long-time dynamics they produce are often unphysical or unstable. We analyze the origin of such instabilities when lea
Externí odkaz:
http://arxiv.org/abs/2406.13101
When swimming animals form cohesive groups, they can reap several benefits. Our understanding of collective animal motion has traditionally been driven by models based on phenomenological behavioral rules, but more recent work has highlighted the cri
Externí odkaz:
http://arxiv.org/abs/2404.13152
This study aims to extract and characterize structures in fully developed pipe flow at a friction Reynolds number of $\text{Re}_\tau = 12\,400$. To do so, we employ data-driven wavelet decomposition (DDWD) [D.~Floryan and M.~D.~Graham, PNAS 118, e202
Externí odkaz:
http://arxiv.org/abs/2303.11372
Autor:
Floryan, Daniel
Publikováno v:
Journal of Fluid Mechanics, Vol. 954, R3 (2023)
We derive a limit on energy savings in controlled channel flow. For flow in a channel driven by pressure, shear, or any combination of the two, and controlled via wall transpiration or spanwise wall motion, the uncontrolled laminar state requires the
Externí odkaz:
http://arxiv.org/abs/2212.09998
We use small-amplitude inviscid theory to study the swimming performance of a flexible flapping plate with time-varying flexibility. The stiffness of the plate oscillates at twice the frequency of the kinematics in order to maintain a symmetric motio
Externí odkaz:
http://arxiv.org/abs/2211.13369
Autor:
Floryan, Daniel, Graham, Michael D.
Publikováno v:
Nature Machine Intelligence, Vol. 4, Issue 12, pp. 1113-1120 (2022)
Dynamical models underpin our ability to understand and predict the behavior of natural systems. Whether dynamical models are developed from first-principles derivations or from observational data, they are predicated on our choice of state variables
Externí odkaz:
http://arxiv.org/abs/2108.05928
Autor:
Floryan, Daniel, Graham, Michael D.
Publikováno v:
Proceedings of the National Academy of Sciences, Vol. 118, Issue 1, e2021299118 (2021)
Many materials, processes, and structures in science and engineering have important features at multiple scales of time and/or space; examples include biological tissues, active matter, oceans, networks, and images. Explicitly extracting, describing,
Externí odkaz:
http://arxiv.org/abs/2009.00682
Publikováno v:
Physical Review Fluids, Vol. 4, Issue 9, pp. 093102 (2019)
Large-amplitude oscillations of foils have been observed to yield greater propulsive efficiency than small-amplitude oscillations. Using scaling relations and experiments on foils with peak-to-peak trailing edge amplitudes of up to two chord lengths,
Externí odkaz:
http://arxiv.org/abs/1909.12377
Autor:
Floryan, Daniel, Rowley, Clarence W.
Publikováno v:
J. Fluid Mech. 888 (2020) A24
We study a linear inviscid model of a passively flexible swimmer with distributed flexibility, calculating its propulsive performance and optimal distributions of flexibility. The frequencies of actuation and mean stiffness ratios we consider span a
Externí odkaz:
http://arxiv.org/abs/1909.05133