Showing 1–20 of 85 results
/ Date/ Name
Sep 29, 2020Numerical investigation of minimum drag profiles in laminar flow using deep learning surrogatesJun 30, 2020Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-SolversNov 20, 2020Neural Scene Graphs for Dynamic ScenesAug 19, 2020Data-driven medium-range weather prediction with a Resnet pretrained on climate simulations: A new model for WeatherBenchMay 3, 2017Data-Driven Synthesis of Smoke Flows with CNN-based Feature DescriptorsOct 31, 2024APEBench: A Benchmark for Autoregressive Neural Emulators of PDEsJun 15, 2019Volumetric Isosurface Rendering with Deep Learning-Based Super-ResolutionMay 30, 2025PDE-Transformer: Efficient and Versatile Transformers for Physics SimulationsNov 16, 2025INC: An Indirect Neural Corrector for Auto-Regressive Hybrid PDE SolversJan 21, 2020Learning to Control PDEs with Differentiable PhysicsJun 6, 2018Deep Fluids: A Generative Network for Parameterized Fluid SimulationsSep 30, 2021Scale-invariant Learning by Physics InversionApr 25, 2017Generating Liquid Simulations with Deformation-aware Neural NetworksAug 30, 2016Interpolations of Smoke and Liquid SimulationsFeb 20, 2024Differentiability in Unrolled Training of Neural Physics Simulators on Transient DynamicsMar 22, 2022Realistic galaxy images and improved robustness in machine learning tasks from generative modellingSep 12, 2025P3D: Scalable Neural Surrogates for High-Resolution 3D Physics Simulations with Global ContextJul 29, 2025diffSPH: Differentiable Smoothed Particle Hydrodynamics for Adjoint Optimization and Machine LearningNov 20, 2020ScalarFlow: A Large-Scale Volumetric Data Set of Real-world Scalar Transport Flows for Computer Animation and Machine LearningNov 22, 2021Incomplete to complete multiphysics forecasting -- a hybrid approach for learning unknown phenomena