1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2025
Generative Discovery of Partial Differential Equations by Learning from Math Handbooks
Hao Xu, Yuntian Chen, Rui Cao +5
Data driven discovery of partial differential equations (PDEs) is a promising approach for uncovering the underlying laws governing complex systems. However, purely data driven tec…
physics.flu-dyn2024★ 1 cited
Discovering Boundary Equations for Wave Breaking using Machine Learning
Tianning Tang, Yuntian Chen, Rui Cao +7
Many supervised machine learning methods have revolutionised the empirical modelling of complex systems. These empirical models, however, are usually "black boxes" and provide only…
physics.geo-ph2024
First observations of the seiche that shook the world
Thomas Monahan, Tianning Tang, Stephen Roberts +1
On September 16th, 2023, an anomalous 10.88 mHz seismic signal was observed globally, persisting for 9 days. One month later an identical signal appeared, lasting for another week.…