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fluid dynamics

52 papers

Papers

FCMO: A Flow-Curv Mamba Operator for Large-Scale 3D Vehicle Aerodynamics AAAI 2026 Latent Knowledge-Guided Video Diffusion for Scientific Phenomena Generation from a Single Initial Frame AAAI 2026 Learning Droplet Dynamics on Rough Unstructured Surfaces Using Physics-Informed Neural Networks (Student Abstract) AAAI 2026 NS-Diff: Fluid Navier-Stokes Guided Video Diffusion via Reinforcement Learning CVPR 2026 A Pioneering Neural Network Method for Efficient and Robust Fuel Sloshing Simulation in Aircraft AAAI 2025 Beyond Blur: A Fluid Perspective on Generative Diffusion Models ICCV 2025 HydroGym: A Reinforcement Learning Platform for Fluid Dynamics L4DC 2025 Improved Sampling Of Diffusion Models In Fluid Dynamics With Tweedie's Formula ICLR 2025 Learning Distributions of Complex Fluid Simulations with Diffusion Graph Networks ICLR 2025 Physics-Informed Diffusion Models ICLR 2025 PIORF: Physics-Informed Ollivier-Ricci Flow for Long–Range Interactions in Mesh Graph Neural Networks ICLR 2025 Clifford-Steerable Convolutional Neural Networks ICML 2024 DeepLag: Discovering Deep Lagrangian Dynamics for Intuitive Fluid Prediction NeurIPS 2024 DiffPhyCon: A Generative Approach to Control Complex Physical Systems NeurIPS 2024 Fluid Dynamics-Inspired Emotional Analysis in Shakespearean Tragedies: A Novel Computational Linguistics Methodology COLING 2024 Lagrangian Flow Networks for Conservation Laws ICLR 2024 Learning Reduced Fluid Dynamics AAAI 2024 NeuralFluid: Nueral Fluidic System Design and Control with Differentiable Simulation NeurIPS 2024 Neural Physical Simulation with Multi-Resolution Hash Grid Encoding AAAI 2024 Optimal Top-Two Method for Best Arm Identification and Fluid Analysis NeurIPS 2024 Poseidon: Efficient Foundation Models for PDEs NeurIPS 2024 PURE: Prompt Evolution with Graph ODE for Out-of-distribution Fluid Dynamics Modeling NeurIPS 2024 Real-world fluid directed rigid body control via deep reinforcement learning L4DC 2024 The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning NeurIPS 2024 Universal Physics Transformers: A Framework For Efficiently Scaling Neural Operators NeurIPS 2024