5 papers
A Physics-Informed Variational Inference Framework for Identifying Attributions of Extreme Stress Events in Low-Grain Polycrystals
Yinling Zhang, Samuel D. Dunham, Curt A. Bronkhorst +1
Polycrystalline metal failure often begins with stress concentration at grain boundaries. Identifying which microstructural features trigger these events is important but challengi…
Adaptive Confidence-Wise Loss for Improved Lens Structure Segmentation in AS-OCT
Zunjie Xiao, Xiao Wu, Tianhang Liu +5
Precise lens structure segmentation is essential for the design of intraocular lenses (IOLs) in cataract surgery. Existing deep segmentation networks typically weight all pixels eq…
A Simple Intermediate Coupled MJO-ENSO Model: Multiscale Interactions and ENSO Complexity
Yinling Zhang, Nan Chen, Charlotte Moser
The Madden-Julian Oscillation (MJO) and the El Niño-Southern Oscillation (ENSO) are two dominant modes of tropical climate variability, each with profound global weather impacts.…
CGKN: A Deep Learning Framework for Modeling Complex Dynamical Systems and Efficient Data Assimilation
Chuanqi Chen, Nan Chen, Yinling Zhang +1
Deep learning is widely used to predict complex dynamical systems in many scientific and engineering areas. However, the black-box nature of these deep learning models presents sig…
A Stochastic Conceptual Model for the Coupled ENSO and MJO
Charlotte Moser, Nan Chen, Yinling Zhang
Understanding the interactions between the El Nino-Southern Oscillation (ENSO) and the Madden-Julian Oscillation (MJO) is essential to studying climate variabilities and predicting…