DynaSolver: A Neural Operator for Autoregressive 4D Flow Prediction with Dynamic Boundaries
Paper recorded by Signals 4 on 2026-11-02 in cs.LG. Abstract reproduced from arXiv; link to the original below.
Published 2026-11-02 on arXiv · recorded by Signals 4 on 2026-11-03
Category: cs.LG · 机器学习 · first seen 2026-11-03
Abstract
Neural operators provide efficient surrogates for computational fluid dynamics (CFD), but most are designed for static geometries and are not equipped to model unsteady flows induced by continuously moving boundaries. We study dynamic-boundary 4D CFD prediction for articulated moving geometries and introduce RoboCFD-4D, a temporally resolved robotic CFD benchmark spanning diverse morphologies and
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Cite this page: DynaSolver: A Neural Operator for Autoregressive 4D Flow Prediction with Dynamic Boundaries: the #24 most recent of 703 cs.LG papers we have recorded (as of 2026-11-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/dynasolver-a-neural-operator-for-autoregressive-4d-flow-prediction-with-dynamic-.html
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