Jun 12, 2024 · In this work, we propose a Physics- Inspired Neural Network (PINN) named HDNet, which performs a Helmholtz decomposition of an arbitrary flow field.
Jun 12, 2024 · In this work, we propose a Physics- Inspired Neural Network (PINN) named HDNet, which performs a Helmholtz decomposition of an arbitrary flow ...
Jun 12, 2024 · HDNet is trained on synthetic data generated through reverse Helmholtz decomposition, improving flow reconstruction accuracy in scientific ...
Jun 13, 2024 · HDNet takes a unique approach by incorporating principles from fluid dynamics, specifically the Helmholtz decomposition, into the neural network ...
HDNet: Physics-Inspired Neural Network for Flow Estimation based on Helmholtz Decomposition · no code implementations • 12 Jun 2024 • Miao Qi, Ramzi Idoughi ...
Nov 15, 2024 · Excited to share our latest blog post on the HDNet: Physics-Inspired Neural Network for Flow Estimation based on Helmholtz Decomposition.
HDNet: Physics-Inspired Neural Network for Flow Estimation based on Helmholtz Decomposition ... Flow estimation problems are ubiquitous in scientific imaging.
In this work, we propose a Physics- Inspired Neural Network (PINN) named HDNet, which performs a Helmholtz decomposition of an arbitrary flow field, i.e., it ...
HDNet: Physics-Inspired Neural Network for Flow Estimation based on Helmholtz Decomposition. Preprint. Full-text available. Jun 2024. Miao Qi ...
Jun 9, 2024 · The paper proposes a new model called "HelmFluid" for accurately predicting fluid dynamics. Previous methods have directly estimated ...