Hybrid Lagrangian-Eulerian Model for Lagrangian Fluid Simulation | Paper Citation Record

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This paper cites T., Duvenaud, D., and Jacobsen, J.-H.

Hybrid Lagrangian-Eulerian Model for Lagrangian Fluid Simulation T., Duvenaud, D., and Jacobsen, J.-H

Reference 3

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Hybrid Lagrangian-Eulerian Model for Lagrangian Fluid Simulation Unresolved cited work

Reference 4

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This paper cites Geometric and physical quantities improve e(3) equivariant message passing.

Hybrid Lagrangian-Eulerian Model for Lagrangian Fluid Simulation Geometric and physical quantities improve e(3) equivariant message passing

Reference 5

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This paper cites E., and Welling, M.

Hybrid Lagrangian-Eulerian Model for Lagrangian Fluid Simulation E., and Welling, M

Reference 6

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This paper cites Choose a Transformer: Fourier or Galerkin.

Hybrid Lagrangian-Eulerian Model for Lagrangian Fluid Simulation Choose a Transformer: Fourier or Galerkin

Reference 7

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This paper cites Efficient learning of mesh-based physical simulation with bi-stride multi-scale graph neural network.

Hybrid Lagrangian-Eulerian Model for Lagrangian Fluid Simulation Efficient learning of mesh-based physical simulation with bi-stride multi-scale graph neural network

Reference 8

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This paper cites and Cani, M.-P.

Hybrid Lagrangian-Eulerian Model for Lagrangian Fluid Simulation and Cani, M.-P

Reference 11

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This paper cites A Generalization of Transformer Networks to Graphs.

Hybrid Lagrangian-Eulerian Model for Lagrangian Fluid Simulation A Generalization of Transformer Networks to Graphs

Reference 12

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This paper cites Drivaernet++: A large-scale multimodal car dataset with computational fluid dynamics simulations and deep learning benchmarks.

Hybrid Lagrangian-Eulerian Model for Lagrangian Fluid Simulation Drivaernet++: A large-scale multimodal car dataset with computational fluid dynamics simulations and deep learning benchmarks

Reference 13

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Hybrid Lagrangian-Eulerian Model for Lagrangian Fluid Simulation Unresolved cited work

Reference 15

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This paper cites and Ji, S.

Hybrid Lagrangian-Eulerian Model for Lagrangian Fluid Simulation and Ji, S

Reference 16

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Reference 17

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This paper cites Learning to optimize multigrid PDE solvers.

Hybrid Lagrangian-Eulerian Model for Lagrangian Fluid Simulation Learning to optimize multigrid PDE solvers

Reference 18

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This paper cites Poseidon: Efficient foundation models for PDE s.

Hybrid Lagrangian-Eulerian Model for Lagrangian Fluid Simulation Poseidon: Efficient foundation models for PDE s

Reference 22

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Hybrid Lagrangian-Eulerian Model for Lagrangian Fluid Simulation Unresolved cited work

Reference 23

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This paper cites DiffusionPDE: Generative PDE-Solving Under Partial Observation.

Hybrid Lagrangian-Eulerian Model for Lagrangian Fluid Simulation DiffusionPDE: Generative PDE-Solving Under Partial Observation

Reference 24

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This paper cites Topology-aware neural flux prediction guided by physics.

Hybrid Lagrangian-Eulerian Model for Lagrangian Fluid Simulation Topology-aware neural flux prediction guided by physics

Reference 25

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This paper cites An airflow velocity field reconstruction method with sparse or incomplete data using physics-informed neural network.

Hybrid Lagrangian-Eulerian Model for Lagrangian Fluid Simulation An airflow velocity field reconstruction method with sparse or incomplete data using physics-informed neural network

Reference 26

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Reference 27

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This paper cites Adam: A Method for Stochastic Optimization.

Hybrid Lagrangian-Eulerian Model for Lagrangian Fluid Simulation Adam: A Method for Stochastic Optimization

Reference 28

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This paper cites Benchmarking invertible architectures on inverse problems.

Hybrid Lagrangian-Eulerian Model for Lagrangian Fluid Simulation Benchmarking invertible architectures on inverse problems

Reference 29

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This paper cites Self-attention graph pooling.

Hybrid Lagrangian-Eulerian Model for Lagrangian Fluid Simulation Self-attention graph pooling

Reference 30

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This paper cites Flow field reconstruction with sensor placement policy learning.

Hybrid Lagrangian-Eulerian Model for Lagrangian Fluid Simulation Flow field reconstruction with sensor placement policy learning

Reference 31

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This paper cites Neural Operator: Graph Kernel Network for Partial Differential Equations.

Hybrid Lagrangian-Eulerian Model for Lagrangian Fluid Simulation Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 32

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This paper cites B., Azizzadenesheli, K., liu, B., Bhattacharya, K., Stuart, A., and Anandkumar, A.

Hybrid Lagrangian-Eulerian Model for Lagrangian Fluid Simulation B., Azizzadenesheli, K., liu, B., Bhattacharya, K., Stuart, A., and Anandkumar, A

Reference 33

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This paper cites B., Choy, C., Li, B., Kossaifi, J., Otta, S.

Hybrid Lagrangian-Eulerian Model for Lagrangian Fluid Simulation B., Choy, C., Li, B., Kossaifi, J., Otta, S

Reference 34

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This paper cites Physics-Informed Neural Operator for Learning Partial Differential Equations.

Hybrid Lagrangian-Eulerian Model for Lagrangian Fluid Simulation Physics-Informed Neural Operator for Learning Partial Differential Equations

Reference 35

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This paper cites Learned turbulence modelling with differentiable fluid solvers: physics-based loss functions and optimisation horizons.

Hybrid Lagrangian-Eulerian Model for Lagrangian Fluid Simulation Learned turbulence modelling with differentiable fluid solvers: physics-based loss functions and optimisation horizons

Reference 36

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Reference 37

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This paper cites Transolver++: An accurate neural solver for PDE s on million-scale geometries.

Hybrid Lagrangian-Eulerian Model for Lagrangian Fluid Simulation Transolver++: An accurate neural solver for PDE s on million-scale geometries

Reference 38

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This paper cites R.-S., Parker, L.

Hybrid Lagrangian-Eulerian Model for Lagrangian Fluid Simulation R.-S., Parker, L

Reference 39

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This paper cites Reconstructing unsteady flows from sparse, noisy measurements with a physics-constrained convolutional neural network.

Hybrid Lagrangian-Eulerian Model for Lagrangian Fluid Simulation Reconstructing unsteady flows from sparse, noisy measurements with a physics-constrained convolutional neural network

Reference 40

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Reference 42

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Reference 43

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This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library.

Hybrid Lagrangian-Eulerian Model for Lagrangian Fluid Simulation PyTorch: An Imperative Style, High-Performance Deep Learning Library

Reference 44

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Reference 45

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This paper cites Guaranteed conservation of momentum for learning particle-based fluid dynamics.

Hybrid Lagrangian-Eulerian Model for Lagrangian Fluid Simulation Guaranteed conservation of momentum for learning particle-based fluid dynamics

Reference 46

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Hybrid Lagrangian-Eulerian Model for Lagrangian Fluid Simulation A neural material point method for particle-based emulation

Reference 49

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This paper cites Learning to Simulate Complex Physics with Graph Networks.

Hybrid Lagrangian-Eulerian Model for Lagrangian Fluid Simulation Learning to Simulate Complex Physics with Graph Networks

Reference 50

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This paper cites Deep learning of preconditioners for conjugate gradient solvers in urban water related problems.

Hybrid Lagrangian-Eulerian Model for Lagrangian Fluid Simulation Deep learning of preconditioners for conjugate gradient solvers in urban water related problems

Reference 51

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Hybrid Lagrangian-Eulerian Model for Lagrangian Fluid Simulation UPS : Efficiently building foundation models for PDE solving via cross-modal adaptation

Reference 52

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Reference 53

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This paper cites A neural PDE solver with temporal stencil modeling.

Hybrid Lagrangian-Eulerian Model for Lagrangian Fluid Simulation A neural PDE solver with temporal stencil modeling

Reference 54

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Hybrid Lagrangian-Eulerian Model for Lagrangian Fluid Simulation and Choromanska, A

Reference 56

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Hybrid Lagrangian-Eulerian Model for Lagrangian Fluid Simulation Lagrangebench: A lagrangian fluid mechanics benchmarking suite

Reference 57

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Hybrid Lagrangian-Eulerian Model for Lagrangian Fluid Simulation P., Galletti, G., Brandstetter, J., Adami, S., and Adams, N

Reference 58

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This paper cites Neural SPH: Improved Neural Modeling of Lagrangian Fluid Dynamics.

Hybrid Lagrangian-Eulerian Model for Lagrangian Fluid Simulation Neural SPH: Improved Neural Modeling of Lagrangian Fluid Dynamics

Reference 59

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Reference 60

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This paper cites Chapter 6: The particle-in-cell method.

Hybrid Lagrangian-Eulerian Model for Lagrangian Fluid Simulation Chapter 6: The particle-in-cell method

Reference 61

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This paper cites Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey.

Hybrid Lagrangian-Eulerian Model for Lagrangian Fluid Simulation Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey

Reference 63

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This paper cites FD-Bench: A Modular and Fair Benchmark for Data-driven Fluid Simulation.

Hybrid Lagrangian-Eulerian Model for Lagrangian Fluid Simulation FD-Bench: A Modular and Fair Benchmark for Data-driven Fluid Simulation

Reference 64

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This paper cites Latent Neural Operator for Solving Forward and Inverse PDE Problems.

Hybrid Lagrangian-Eulerian Model for Lagrangian Fluid Simulation Latent Neural Operator for Solving Forward and Inverse PDE Problems

Reference 65

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Hybrid Lagrangian-Eulerian Model for Lagrangian Fluid Simulation C., Doucet, A., and Syed, S

Reference 66

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Hybrid Lagrangian-Eulerian Model for Lagrangian Fluid Simulation Solving high-dimensional pdes with latent spectral models

Reference 67

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Hybrid Lagrangian-Eulerian Model for Lagrangian Fluid Simulation Transolver: A fast transformer solver for pdes on general geometries

Reference 68

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Reference 69

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This paper cites Hybrid Neural-MPM for Interactive Fluid Simulations in Real-Time.

Hybrid Lagrangian-Eulerian Model for Lagrangian Fluid Simulation Hybrid Neural-MPM for Interactive Fluid Simulations in Real-Time

Reference 70

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This paper cites Rf-pinns: Reactive flow physics-informed neural networks for field reconstruction of laminar and turbulent flames using sparse data.

Hybrid Lagrangian-Eulerian Model for Lagrangian Fluid Simulation Rf-pinns: Reactive flow physics-informed neural networks for field reconstruction of laminar and turbulent flames using sparse data

Reference 71

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This paper cites PDE former: Towards a foundation model for one-dimensional partial differential equations.

Hybrid Lagrangian-Eulerian Model for Lagrangian Fluid Simulation PDE former: Towards a foundation model for one-dimensional partial differential equations

Reference 72

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This paper cites Sparse sensor reconstruction of vortex-impinged airfoil wake with machine learning.

Hybrid Lagrangian-Eulerian Model for Lagrangian Fluid Simulation Sparse sensor reconstruction of vortex-impinged airfoil wake with machine learning

Reference 73

Resolution: verified exact; doi, observed 2026-08-06T00:30:48.147869Z

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Observation 3105edc1-72d4-4f1f-bbf3-23b087f46e8e · outbound

This paper cites Unisolver: Pde-conditional transformers towards universal neural pde solvers.

Hybrid Lagrangian-Eulerian Model for Lagrangian Fluid Simulation Unisolver: Pde-conditional transformers towards universal neural pde solvers

Reference 74

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Hybrid Lagrangian-Eulerian Model for Lagrangian Fluid Simulation 2025 , eprint=

Reference 75

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Hybrid Lagrangian-Eulerian Model for Lagrangian Fluid Simulation Fundamental differences between SPH and grid methods: Simulating fluids using SPH and grid techniques , volume=

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Outbound references

Pith citing papers