Research Areas

▼ Research Overview

Research Details

Graph neural networks for unsteady flow  (ongoing)

Trained mesh

Untrained mesh

Ground truth of trained data

Ground truth of untrained data

Prediction of trained data

Prediction  of untrained data

Physics-informed neural networks

(click above for details)

Digital twins (ongoing)

Generative modeling

(click above for details)

Reduced-order modeling (ROM)
(click above for details)

Reliable and Efficient UQ
(click above for details)

Bayesian optimization
(click above for details)

Design shape optimization
(click above for details)

Data mining for design rule extraction
(click above for details)

Multi-fidelity modeling
(click above for details)