2 papers
physics.flu-dyn2026
Finite-Time Relaxation of Inertial Particle Clustering in Non-Equilibrium Turbulence
Taketo Tominaga, Ryo Onishi
Inertial particles in turbulence form clusters, which strongly affect particle collisions and transport properties. Clustering models based on statistically stationary turbulence i…
physics.flu-dyn2026
Uncertainty-Aware Spatiotemporal Super-Resolution Data Assimilation with Diffusion Models
Aditya Sai Pranith Ayapilla, Kazuya Miyashita, Yuki Yasuda +1
Data assimilation (DA) improves prediction of chaotic systems by combining model forecasts with sparse, noisy observations. Many DA methods are inherently probabilistic, but accura…