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1. DID FLUID DYNAMICS DRIVE AMMONITE BIODIVERSITY DYNAMICS?

   https://doi.org/10.1130/abs/2021AM-370678  

   Ritterbush, Kathleen; Hebdon, Nicholas; Peterman, David; Choi, YunJi; Hoskins, Brittney; Heberer, Mikelia; Crawford, Casey; Hambleton, Jenny (January 2021, Geological Society of America Abstracts with Programs)
2. Modeling epidemic flow with fluid dynamics

   https://doi.org/10.3934/mbe.2022388  

   Cheng, Ziqiang; Wang, Jin (January 2022, Mathematical Biosciences and Engineering)

   In this paper, a new mathematical model based on partial differential equations is proposed to study the spatial spread of infectious diseases. The model incorporates fluid dynamics theory and represents the epidemic spread as a fluid motion generated through the interaction between the susceptible and infected hosts. At the macroscopic level, the spread of the infection is modeled as an inviscid flow described by the Euler equation. Nontrivial numerical methods from computational fluid dynamics (CFD) are applied to investigate the model. In particular, a fifth-order weighted essentially non-oscillatory (WENO) scheme is employed for the spatial discretization. As an application, this mathematical and computational framework is used in a simulation study for the COVID-19 outbreak in Wuhan, China. The simulation results match the reported data for the cumulative cases with high accuracy and generate new insight into the complex spatial dynamics of COVID-19. 

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3. Fluid Dynamics Experiments for Planetary Interiors

   https://doi.org/10.1007/s10712-021-09681-1  

   Le Bars, Michael; Barik, Ankit; Burmann, Fabian; Lathrop, Daniel P.; Noir, Jerome; Schaeffer, Nathanael; Triana, Santiago A. (December 2021, Surveys in Geophysics)

   Abstract Understanding fluid flows in planetary cores and subsurface oceans, as well as their signatures in available observational data (gravity, magnetism, rotation, etc.), is a tremendous interdisciplinary challenge. In particular, it requires understanding the fundamental fluid dynamics involving turbulence and rotation at typical scales well beyond our day-to-day experience. To do so, laboratory experiments are fully complementary to numerical simulations, especially in systematically exploring extreme flow regimes for long duration. In this review article, we present some illustrative examples where experimental approaches, complemented by theoretical and numerical studies, have been key for a better understanding of planetary interior flows driven by some type of mechanical forcing. We successively address the dynamics of flows driven by precession, by libration, by differential rotation, and by boundary topography. 

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4. Spatiotemporal spectral transfers in fluid dynamics

   https://doi.org/10.1103/PhysRevFluids.10.064602  

   Mondal, Avik; Morten, Andrew J; Arbic, Brian K; Flierl, Glenn R; Scott, Robert B; Skitka, Joseph (June 2025, Physical Review Fluids)

   Motivated by previous work on kinetic energy cascades in the ocean, atmosphere, plasmas, and other fluids, we develop a spatiotemporal spectral transfer tool that can be used to study scales of variability in generalized dynamical systems. In particular, we use generalized time-frequency methods from signal analysis to broaden the applicability of frequency transfers from theoretical to practical fluids applications such as the study of observational data or simulation output. We also show that triad interactions in wavenumber used to study kinetic energy and enstrophy cascades can be generalized to study triad interactions in frequency or wavenumber frequency. We study the effects of sweeping on the locality of frequency transfers and frequency triad interactions to better understand the locality of spatiotemporal frequency transfers. As an illustrative example, we use the spatiotemporal spectral transfer tool to study the results of a simulation of two-dimensional homogeneous isotropic turbulence. This simulated fluid is forced at a well-defined wavenumber and frequency with dissipation occurring at both large and small scales, making this one of the first studies of “modulated turbulence” in two dimensions. Our results show that the spatiotemporal transfers we develop in this paper are robust to potential practical problems such as low sampling rates or nonstationarity in time series of interest. We anticipate that this method will be a useful tool in studying scales of spatiotemporal variability in a wide range of fluids applications as higher resolution observations and simulations of fluids become more widely available. Published by the American Physical Society2025 

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5. First-Order General-Relativistic Viscous Fluid Dynamics

   https://doi.org/10.1103/PhysRevX.12.021044  

   Bemfica, Fábio S.; Disconzi, Marcelo M.; Noronha, Jorge (May 2022, Physical Review X)