76 citations · 80 across the 3 of their papers we have counts for
3 papers
cond-mat.mtrl-sci2023★ 3 cited
Crack-Net: Prediction of Crack Propagation in Composites
Hao Xu, Wei Fan, Ambrose C. Taylor +3
Computational solid mechanics has become an indispensable approach in engineering, and numerical investigation of fracture in composites is essential as composites are widely used…
cs.LG2023★ 1 cited
Worth of knowledge in deep learning
Hao Xu, Yuntian Chen, Dongxiao Zhang
Knowledge constitutes the accumulated understanding and experience that humans use to gain insight into the world. In deep learning, prior knowledge is essential for mitigating sho…
physics.data-an2022★ 76 cited
Retention Time Prediction for Chromatographic Enantioseparation by Quantile Geometry-enhanced Graph Neural Network
Hao Xu, Jinglong Lin, Dongxiao Zhang +1
A new research framework is proposed to incorporate machine learning techniques into the field of experimental chemistry to facilitate chromatographic enantioseparation. A document…