Bridging scales in multiscale bubble growth dynamics with correlated fluctuations using neural operator learning

arXiv:2403.13299v1 Announce Type: cross
Abstract: The intricate process of bubble growth dynamics involves a broad spectrum of physical phenomena from microscale mechanics of bubble formation to macroscale interplay between bubbles and surrounding thermo-hydrodynamics. Traditional bubble dynamics models including atomistic approaches and continuum-based methods segment the bubble dynamics into distinct scale-specific models. In order to bridge the gap between microscale stochastic fluid models and continuum-based fluid models for bubble dynamics, we develop a composite neural operator model to unify the analysis …

abstract arxiv bubble cs.lg dynamics growth physics.comp-ph physics.flu-dyn process segment spectrum type