Hybrid Neural-MPM for Interactive Fluid Simulations in Real-Time Paper • 2505.18926 • Published May 25 • 20
RiverMamba: A State Space Model for Global River Discharge and Flood Forecasting Paper • 2505.22535 • Published May 28 • 2
The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning Paper • 2412.00568 • Published Nov 30, 2024 • 23
A Two-Phase Deep Learning Framework for Adaptive Time-Stepping in High-Speed Flow Modeling Paper • 2506.07969 • Published Jun 9 • 1
PROSE-FD: A Multimodal PDE Foundation Model for Learning Multiple Operators for Forecasting Fluid Dynamics Paper • 2409.09811 • Published Sep 15, 2024 • 1
Space and Time Continuous Physics Simulation From Partial Observations Paper • 2401.09198 • Published Jan 17, 2024 • 1
Physics-Guided Fair Graph Sampling for Water Temperature Prediction in River Networks Paper • 2412.16523 • Published Dec 21, 2024 • 2
EuLagNet: Eulerian Fluid Prediction with Lagrangian Dynamics Paper • 2402.02425 • Published Feb 4, 2024 • 2
Gravity-Informed Deep Learning Framework for Predicting Ship Traffic Flow and Invasion Risk of Non-Indigenous Species via Ballast Water Discharge Paper • 2401.13098 • Published Jan 23, 2024 • 2
DiTEC-WDN: A Large-Scale Dataset of Water Distribution Network Scenarios under Diverse Hydraulic Conditions Paper • 2503.17167 • Published Mar 21 • 1
AquaCast: Urban Water Dynamics Forecasting with Precipitation-Informed Multi-Input Transformer Paper • 2509.09458 • Published Sep 11 • 1
ChaosBench: A Multi-Channel, Physics-Based Benchmark for Subseasonal-to-Seasonal Climate Prediction Paper • 2402.00712 • Published Feb 1, 2024 • 2
Advancing Parsimonious Deep Learning Weather Prediction using the HEALPix Mesh Paper • 2311.06253 • Published Sep 11, 2023 • 1
ClimODE: Climate and Weather Forecasting with Physics-informed Neural ODEs Paper • 2404.10024 • Published Apr 15, 2024 • 1