Co-occurring keywords · papers mentioning both
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