13 citations · 18 across the 4 of their papers we have counts for
5 papers
Predicting Brain Morphogenesis via Physics-Transfer Learning
Yingjie Zhao, Yicheng Song, Fan Xu +1
Brain morphology is shaped by genetic and mechanical factors and is linked to biological development and diseases. Its fractal-like features, regional anisotropy, and complex curva…
Neural Network Modeling of Microstructure Complexity Using Digital Libraries
Yingjie Zhao, Zhiping Xu
Microstructure evolution in matter is often modeled numerically using field or level-set solvers, mirroring the dual representation of spatiotemporal complexity in terms of pixel o…
Discovering High-Strength Alloys via Physics-Transfer Learning
Yingjie Zhao, Hongbo Zhou, Zian Zhang +4
Predicting the strength of materials requires considering various length and time scales, striking a balance between accuracy and efficiency. Peierls stress measures material stren…
Predicting Fatigue Crack Growth via Path Slicing and Re-Weighting
Yingjie Zhao, Yong Liu, Zhiping Xu
Predicting potential risks associated with the fatigue of key structural components is crucial in engineering design. However, fatigue often involves entangled complexities of mate…
A Data-Driven Approach to Morphogenesis under Structural Instability
Yingjie Zhao, Zhiping Xu
Morphological development into evolutionary patterns under structural instability is ubiquitous in living systems and often of vital importance for engineering structures. Here we…