On the Role of Strain and Vorticity in Numerical Integration Error for Flow Matching
Fuente:
arXiv
Guardado en:
| Autores principales: | Tao, Chenxi, Choi, Seung-Kyum |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Identifying Locally Turbulent Vortices within Instabilities
por: Vivodtzev, Fabien, et al.
Publicado: (2024)
por: Vivodtzev, Fabien, et al.
Publicado: (2024)
Accelerating Simulation of Two-Phase Flows with Neural PDE Surrogates
por: Poels, Yoeri, et al.
Publicado: (2024)
por: Poels, Yoeri, et al.
Publicado: (2024)
Learning to Estimate Single-View Volumetric Flow Motions without 3D Supervision
por: Franz, Aleksandra, et al.
Publicado: (2023)
por: Franz, Aleksandra, et al.
Publicado: (2023)
CNN-powered micro- to macro-scale flow modeling in deformable porous media
por: Heider, Yousef, et al.
Publicado: (2025)
por: Heider, Yousef, et al.
Publicado: (2025)
Large-scale flood modeling and forecasting with FloodCast
por: Xu, Qingsong, et al.
Publicado: (2024)
por: Xu, Qingsong, et al.
Publicado: (2024)
PDEBENCH: An Extensive Benchmark for Scientific Machine Learning
por: Takamoto, Makoto, et al.
Publicado: (2022)
por: Takamoto, Makoto, et al.
Publicado: (2022)
A Pioneering Neural Network Method for Efficient and Robust Fluid Simulation
por: Chen, Yu, et al.
Publicado: (2024)
por: Chen, Yu, et al.
Publicado: (2024)
Vision-Informed Flow Image Super-Resolution with Quaternion Spatial Modeling and Dynamic Flow Convolution
por: Cao, Qinglong, et al.
Publicado: (2024)
por: Cao, Qinglong, et al.
Publicado: (2024)
Mesh Neural Networks for SE(3)-Equivariant Hemodynamics Estimation on the Artery Wall
por: Suk, Julian, et al.
Publicado: (2022)
por: Suk, Julian, et al.
Publicado: (2022)
Estimating Dynamic Flow Features in Groups of Tracked Objects
por: Harms, Tanner D., et al.
Publicado: (2024)
por: Harms, Tanner D., et al.
Publicado: (2024)
EngineBench: Flow Reconstruction in the Transparent Combustion Chamber III Optical Engine
por: Baker, Samuel J., et al.
Publicado: (2024)
por: Baker, Samuel J., et al.
Publicado: (2024)
Prior Availability in Industrial Visual Sim-to-Real: A Review of CAD-Guided and CAD-Unavailable Regimes
por: Tao, Chenxi, et al.
Publicado: (2026)
por: Tao, Chenxi, et al.
Publicado: (2026)
Physics-Informed Temporal U-Net for High-Fidelity Fluid Interpolation
por: A., Eshwar R., et al.
Publicado: (2026)
por: A., Eshwar R., et al.
Publicado: (2026)
Learning Transient Convective Heat Transfer with Geometry Aware World Models
por: Doganay, Onur T., et al.
Publicado: (2026)
por: Doganay, Onur T., et al.
Publicado: (2026)
Comparison of Generative Learning Methods for Turbulence Surrogates
por: Drygala, Claudia, et al.
Publicado: (2024)
por: Drygala, Claudia, et al.
Publicado: (2024)
Neural reconstruction of 3D ocean wave hydrodynamics from camera sensing
por: Liu, Jiabin, et al.
Publicado: (2025)
por: Liu, Jiabin, et al.
Publicado: (2025)
Enhancing wind field resolution in complex terrain through a knowledge-driven machine learning approach
por: Wold, Jacob Wulff, et al.
Publicado: (2023)
por: Wold, Jacob Wulff, et al.
Publicado: (2023)
Image Velocimetry using Direct Displacement Field estimation with Neural Networks for Fluids
por: Magaña, Efraín, et al.
Publicado: (2025)
por: Magaña, Efraín, et al.
Publicado: (2025)
Pressure Field Reconstruction with SIREN: A Mesh-Free Approach for Image Velocimetry in Complex Noisy Environments
por: Miotto, Renato F., et al.
Publicado: (2025)
por: Miotto, Renato F., et al.
Publicado: (2025)
Global Transport for Fluid Reconstruction with Learned Self-Supervision
por: Franz, Aleksandra, et al.
Publicado: (2021)
por: Franz, Aleksandra, et al.
Publicado: (2021)
FlowRefiner: Flow Matching-Based Iterative Refinement for 3D Turbulent Flow Simulation
por: Dai, Yilong, et al.
Publicado: (2026)
por: Dai, Yilong, et al.
Publicado: (2026)
Flow Gym: A framework for the development, benchmarking, training, and deployment of flow-field quantification methods
por: Banelli, Francesco, et al.
Publicado: (2025)
por: Banelli, Francesco, et al.
Publicado: (2025)
Multi-resolution Physics-Aware Recurrent Convolutional Neural Network for Complex Flows
por: Cheng, Xinlun, et al.
Publicado: (2025)
por: Cheng, Xinlun, et al.
Publicado: (2025)
Pattern-Based Phase-Separation of Tracer and Dispersed Phase Particles in Two-Phase Defocusing Particle Tracking Velocimetry
por: Sax, Christian, et al.
Publicado: (2025)
por: Sax, Christian, et al.
Publicado: (2025)
Validated respiratory drug deposition predictions from 2D and 3D medical images with statistical shape models and convolutional neural networks
por: Williams, Josh, et al.
Publicado: (2023)
por: Williams, Josh, et al.
Publicado: (2023)
Clustering Method for Time-Series Images Using Quantum-Inspired Computing Technology
por: Inoue, Tomoki, et al.
Publicado: (2023)
por: Inoue, Tomoki, et al.
Publicado: (2023)
Physical Fidelity Reconstruction via Improved Consistency-Distilled Flow Matching for Dynamical Systems
por: Ma, Sicheng, et al.
Publicado: (2026)
por: Ma, Sicheng, et al.
Publicado: (2026)
FMEnets: Flow, Material, and Energy networks for non-ideal plug flow reactor design
por: Wu, Chenxi, et al.
Publicado: (2025)
por: Wu, Chenxi, et al.
Publicado: (2025)
FLRNet: A Deep Learning Method for Regressive Reconstruction of Flow Field From Limited Sensor Measurements
por: Nguyen, Phong C. H., et al.
Publicado: (2024)
por: Nguyen, Phong C. H., et al.
Publicado: (2024)
Polytopic Autoencoders with Smooth Clustering for Reduced-order Modelling of Flows
por: Heiland, Jan, et al.
Publicado: (2024)
por: Heiland, Jan, et al.
Publicado: (2024)
VortexViz: Finding Vortex Boundaries by Learning from Particle Trajectories
por: de Silva, Akila, et al.
Publicado: (2024)
por: de Silva, Akila, et al.
Publicado: (2024)
Interpretable A-posteriori Error Indication for Graph Neural Network Surrogate Models
por: Barwey, Shivam, et al.
Publicado: (2023)
por: Barwey, Shivam, et al.
Publicado: (2023)
Symplectic Neural Flows for Modeling and Discovery
por: Canizares, Priscilla, et al.
Publicado: (2024)
por: Canizares, Priscilla, et al.
Publicado: (2024)
Data-Driven Reduced-Complexity Modeling of Fluid Flows: A Community Challenge
por: Schmidt, Oliver T., et al.
Publicado: (2026)
por: Schmidt, Oliver T., et al.
Publicado: (2026)
Learning Effective Dynamics across Spatio-Temporal Scales of Complex Flows
por: Gao, Han, et al.
Publicado: (2025)
por: Gao, Han, et al.
Publicado: (2025)
Uni-Flow: a unified autoregressive-diffusion model for complex multiscale flows
por: Xue, Xiao, et al.
Publicado: (2026)
por: Xue, Xiao, et al.
Publicado: (2026)
Jacobian-Scaled K-means Clustering for Physics-Informed Segmentation of Reacting Flows
por: Barwey, Shivam, et al.
Publicado: (2023)
por: Barwey, Shivam, et al.
Publicado: (2023)
Investigation of Compressor Cascade Flow Using Physics- Informed Neural Networks with Adaptive Learning Strategy
por: Li, Zhihui, et al.
Publicado: (2023)
por: Li, Zhihui, et al.
Publicado: (2023)
FlowPrecision: Advancing FPGA-Based Real-Time Fluid Flow Estimation with Linear Quantization
por: Ling, Tianheng, et al.
Publicado: (2024)
por: Ling, Tianheng, et al.
Publicado: (2024)
Solving nonlinear subsonic compressible flow in infinite domain via multi-stage neural networks
por: Qian, Xuehui, et al.
Publicado: (2026)
por: Qian, Xuehui, et al.
Publicado: (2026)
Ejemplares similares
-
Identifying Locally Turbulent Vortices within Instabilities
por: Vivodtzev, Fabien, et al.
Publicado: (2024) -
Accelerating Simulation of Two-Phase Flows with Neural PDE Surrogates
por: Poels, Yoeri, et al.
Publicado: (2024) -
Learning to Estimate Single-View Volumetric Flow Motions without 3D Supervision
por: Franz, Aleksandra, et al.
Publicado: (2023) -
CNN-powered micro- to macro-scale flow modeling in deformable porous media
por: Heider, Yousef, et al.
Publicado: (2025) -
Large-scale flood modeling and forecasting with FloodCast
por: Xu, Qingsong, et al.
Publicado: (2024)