id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
2v23vt18186	Colin Denzel	A Physics Informed Stochastic Model for the Behavior of Particles in Rayleigh–Bénard Turbulence	2023		.txt	text/plain	210	6	37	We take inspiration from this setup and consider a particle-laden, convectively-driven turbulent flow using direct numerical simulation (DNS). A simple conceptual picture underlies the stochastic model, namely that the particles take repeated trips between the top and bottom boundaries, driven by the convective cells that occur in Rayleigh-Benard turbulence, and that their residence times are determined by the time it takes to complete one of these trips, which varies from one trip to another, and the probability of falling out to the bottom boundary after each trip.	cache/2v23vt18186.txt	txt/2v23vt18186.txt