Knowledge-guided Machine Learning: Current Trends and Future Prospects
This paper presents an overview of scientific modeling and discusses the complementary
strengths and weaknesses of ML methods for scientific modeling in comparison to process …
strengths and weaknesses of ML methods for scientific modeling in comparison to process …
A generative adversarial network based on an efficient transformer for high-fidelity flow field reconstruction
L Shen, L Deng, X Liu, Y Wang, X Chen, J Liu - Physics of Fluids, 2024 - pubs.aip.org
The reconstruction of high-fidelity flow fields from low-fidelity data has attracted considerable
attention in fluid dynamics but poses many challenges to existing deep learning methods …
attention in fluid dynamics but poses many challenges to existing deep learning methods …