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I-FENN for thermoelasticity based on physics-informed temporal convolutional network (PI-TCN)., and . CoRR, (2023)Machine learning accelerated topology optimization of nonlinear structures., , and . CoRR, (2020)Sequential Deep Learning Operator Network (S-DeepONet) for Time-Dependent Loads., , , , , and . CoRR, (2023)On the use of graph neural networks and shape-function-based gradient computation in the deep energy method., , , and . CoRR, (2022)Geom-DeepONet: A Point-cloud-based Deep Operator Network for Field Predictions on 3D Parameterized Geometries., , , , and . CoRR, (2024)I-FENN with Temporal Convolutional Networks: expediting the load-history analysis of non-local gradient damage propagation., , , and . CoRR, (2024)Multi-component Predictions of Transient Solution Fields with Sequential Deep Operator Network., , , , , and . CoRR, (2023)Novel DeepONet architecture to predict stresses in elastoplastic structures with variable complex geometries and loads., , , , , and . CoRR, (2023)Deep learning collocation method for solid mechanics: Linear elasticity, hyperelasticity, and plasticity as examples., , and . CoRR, (2020)Exploring the structure-property relations of thin-walled, 2D extruded lattices using neural networks., , , and . CoRR, (2022)