5 papers
Bivariate partial mapping for detecting causality in complex non-autonomous system
Yang Ni, Changqing Liu, Yifan Zhang +4
Identifying causality is fundamental for human understanding of the world, where complex non-autonomous systems such as species population changes, brain activities, etc. are exten…
A scalable neural bundle map for multiphysics prediction in lithium-ion battery across varying configurations
Zhiwei Zhao, Changqing Liu, Jie Lin +4
Efficient and accurate prediction of Multiphysics evolution across diverse cell geometries is fundamental to the design, management and safety of lithium-ion batteries. However, ex…
Shape-morphing programming of soft materials on complex geometries via neural operator
Lu Chen, Gengxiang Chen, Xu Liu +4
Shape-morphing soft materials can enable diverse target morphologies through voxel-level material distribution design, offering significant potential for various applications. Desp…
Neural Diffeomorphic-Neural Operator for Residual Stress-Induced Deformation Prediction
Changqing Liu, Kaining Dai, Zhiwei Zhao +2
Accurate prediction of machining deformation in structural components is essential for ensuring dimensional precision and reliability. Such deformation often originates from residu…
A general reduced-order neural operator for spatio-temporal predictive learning on complex spatial domains
Qinglu Meng, Yingguang Li, Zhiliang Deng +5
Predictive learning for spatio-temporal processes (PL-STP) on complex spatial domains plays a critical role in various scientific and engineering fields, with its essence being the…