# A Physics-informed Diffusion Model for High-fidelity Flow Field Reconstruction

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-physics-informed-diffusion-model-for-high-fidelity-flow-field-reconstruction/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Dule Shu,Zijie Li,Amir Barati Farimani |
| Citations | 5 |
| DOI | 10.48550/arxiv.2211.14680 |
| Fields | Engineering,Physics and Astronomy |
| Open Access | true |
| OA Status | green |
| OA URL | https://arxiv.org/pdf/2211.14680 |
| OpenAlex ID | https://openalex.org/W4310415513 |
| Type | preprint |
| Year | 2022 |

## Paper authors

- [Dule Shu](https://scholariq.org/researchers/dule-shu/)

## Paper journal

- [arXiv (Cornell University)](https://scholariq.org/journals/arxiv-cornell-university/)

## Paper primary topic

- [Model Reduction and Neural Networks](https://scholariq.org/topics/model-reduction-and-neural-networks/)

## Paper topics

- [Model Reduction and Neural Networks](https://scholariq.org/topics/model-reduction-and-neural-networks/)
- [Lattice Boltzmann Simulation Studies](https://scholariq.org/topics/lattice-boltzmann-simulation-studies/)
- [Fluid Dynamics and Turbulent Flows](https://scholariq.org/topics/fluid-dynamics-and-turbulent-flows/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.