{"ID":6138207,"CreatedAt":"2026-07-09T01:07:32.349475501Z","UpdatedAt":"2026-07-11T10:54:07.539889654Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2607.07275","arxiv_id":"2607.07275","title":"BubbleSH: A Dataset of Rising Bubbles with Deformable Interfaces","abstract":"Bubbly flows exhibit complex multiscale dynamics, with deformable bubbles interacting through the surrounding liquid and giving rise to strongly coupled kinematic and morphological behavior. We present BubbleSH, a bubbly flows dataset consisting of transient, three-dimensional bubble-swarm dynamics obtained from high-fidelity direct numerical simulations of bubbles rising in a periodic domain. The dataset provides time-resolved bubble trajectories, velocities, and shape evolution, with bubble morphology compactly represented using spherical harmonics. Designed to be lightweight yet physically expressive, the dataset enables data-driven modeling of bubbly flow simulators where shape deformation and bubble-bubble interactions play a central role. We characterize the dataset with bubble kinematics, morphology, and interaction patterns, and introduce evaluation metrics for both trajectory and shape prediction. The sensitivity of bubble-swarm dynamics to local perturbations makes BubbleSH particularly well suited to generative models that learn distributions over possible future trajectories. We evaluate a permutationally and translationally equivariant probabilistic emulator on BubbleSH given the proposed metrics. Therefore, we establish a compact, high-fidelity dataset and a benchmark for developing and evaluating data-driven models of deformable, chaotic multiphase systems.","short_abstract":"Bubbly flows exhibit complex multiscale dynamics, with deformable bubbles interacting through the surrounding liquid and giving rise to strongly coupled kinematic and morphological behavior. We present BubbleSH, a bubbly flows dataset consisting of transient, three-dimensional bubble-swarm dynamics obtained from high-f...","url_abs":"https://arxiv.org/abs/2607.07275","url_pdf":"https://arxiv.org/pdf/2607.07275v1","authors":"[\"Rachna Ramesh\",\"Kiet Bennema ten Brinke\",\"Douwe Orij\",\"Ivo Roghair\",\"Vlado Menkovski\"]","published":"2026-07-08T11:06:29Z","proceeding":"cs.LG","tasks":"[\"cs.LG\",\"physics.flu-dyn\"]","methods":"[]","has_code":false}