140 citations · 155 across the 4 of their papers we have counts for
4 papers
Bridging scales in multiscale bubble growth dynamics with correlated fluctuations using neural operator learning
Minglei Lu, Chensen Lin, Martian Maxey +2
The intricate process of bubble growth dynamics involves a broad spectrum of physical phenomena from microscale mechanics of bubble formation to macroscale interplay between bubble…
FuXi-S2S: A machine learning model that outperforms conventional global subseasonal forecast models
Lei Chen, Xiaohui Zhong, Hao Li +8
Skillful subseasonal forecasts are crucial for various sectors of society but pose a grand scientific challenge. Recently, machine learning based weather forecasting models outperf…
FuXi-Extreme: Improving extreme rainfall and wind forecasts with diffusion model
Xiaohui Zhong, Lei Chen, Jun Liu +3
Significant advancements in the development of machine learning (ML) models for weather forecasting have produced remarkable results. State-of-the-art ML-based weather forecast mod…
Operator learning for predicting multiscale bubble growth dynamics
Chensen Lin, Zhen Li, Lu Lu +3
Simulating and predicting multiscale problems that couple multiple physics and dynamics across many orders of spatiotemporal scales is a great challenge that has not been investiga…