Leveraging graph neural networks and neural operator techniques for high-fidelity mesh-based physics simulations
Developing fast and accurate computational models to simulate intricate physical phenomena has been a persistent research challenge. Recent studies have demonstrated remarkable capabilities in predicting various physical outcomes through machine learning-assisted approaches. However, it remains chal...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
AIP Publishing LLC
2023-12-01
|
Series: | APL Machine Learning |
Online Access: | http://dx.doi.org/10.1063/5.0167014 |