AI RESEARCH
DSO: Dual-Scale Neural Operators for Stable Long-term Fluid Dynamics Forecasting
arXiv CS.AI
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ArXi:2603.26800v1 Announce Type: cross Long-term fluid dynamics forecasting is a critically important problem in science and engineering. While neural operators have emerged as a promising paradigm for modeling systems governed by partial differential equations (PDEs), they often struggle with long-term stability and precision.