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07/03/2023
Effect of the cross-section architecture on the impact resistance of bio-inspired low-porosity structures using neural networks
Biological structural designs in nature, like hoof walls, horns, and ant...
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06/14/2023
Sequential Deep Operator Networks (S-DeepONet) for Predicting Full-field Solutions Under Time-dependent Loads
Deep Operator Network (DeepONet), a recently introduced deep learning op...
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06/06/2023
Novel DeepONet architecture to predict stresses in elastoplastic structures with variable complex geometries and loads
A novel deep operator network (DeepONet) with a residual U-Net (ResUNet)...
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09/14/2022
A deep learning energy-based method for classical elastoplasticity
The deep energy method (DEM) has been used to solve the elastic deformat...
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07/14/2022
On the use of graph neural networks and shape-function-based gradient computation in the deep energy method
A graph neural network (GCN) is employed in the deep energy method (DEM)...
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07/07/2022
Deep energy method in topology optimization applications
This paper explores the possibilities of applying physics-informed neura...
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05/30/2022
LatticeOPT: A heuristic topology optimization framework for thin-walled, 2D extruded lattices
This paper introduces a heuristic topology optimization framework for th...
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05/13/2022