Sample-efficient and generalizable velocity and pressure field reconstruction from three-dimensional two-phase flow interfaces
Abstract Accurate reconstruction of velocity and pressure fields from gas-liquid interfaces is essential for quantifying two-phase flow dynamics and enabling real-time flow visualization and diagnostics. This study presents a Transformer-based neural operator model pretrained on large-scale two-dimensional interface da...