3 papers
cs.LG2025
BubbleOKAN: A Physics-Informed Interpretable Neural Operator for High-Frequency Bubble Dynamics
Yunhao Zhang, Sidharth S. Menon, Lin Cheng +2
In this work, we employ physics-informed neural operators to map pressure profiles from an input function space to the corresponding bubble radius responses. Our approach employs a…
physics.flu-dyn2025
MFC 5.0: An exascale many-physics flow solver
Benjamin Wilfong, Henry A. Le Berre, Anand Radhakrishnan +16
Many problems of interest in engineering, medicine, and the fundamental sciences rely on high-fidelity flow simulation, making performant computational fluid dynamics solvers a mai…
physics.flu-dyn2025
Hardware-Accelerated Phase-Averaging for Cavitating Bubbly Flows
Diego Vaca-Revelo, Benjamin Wilfong, Spencer H. Bryngelson +1
We present a comprehensive validation, performance characterization, and scalability analysis of a hardware-accelerated phase-averaged multiscale solver designed to simulate acoust…