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cs.LG2026
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…
cs.LG2025
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…
cs.LG2024★ 1 cited
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…