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08/12/2023
Towards Exascale Computation for Turbomachinery Flows
A state-of-the-art large eddy simulation code has been developed to solv...
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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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03/17/2023
Gyroid-like metamaterials: Topology optimization and Deep Learning
Triply periodic minimal surface (TPMS) metamaterials characterized by ma...
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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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05/24/2022
Enhanced physics-informed neural networks for hyperelasticity
Physics-informed neural networks have gained growing interest. Specifica...
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01/15/2022
A deep learning energy method for hyperelasticity and viscoelasticity
The potential energy formulation and deep learning are merged to solve p...
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01/12/2022
Surrogate Neural Network Model for Sensitivity Analysis and Uncertainty Quantification of the Mechanical Behavior in the Optical Lens-Barrel Assembly
Surrogate neural network-based models have been lately trained and used ...
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12/02/2020
Meshless physics-informed deep learning method for three-dimensional solid mechanics
Deep learning and the collocation method are merged and used to solve pa...
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03/18/2020
Convergence of Artificial Intelligence and High Performance Computing on NSF-supported Cyberinfrastructure
Significant investments to upgrade or construct large-scale scientific f...
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01/31/2020
Topology optimization of 2D structures with nonlinearities using deep learning
The field of optimal design of linear elastic structures has seen many e...
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01/31/2020
