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05/28/2023
I-FENN for thermoelasticity based on physics-informed temporal convolutional network (PI-TCN)
We propose an integrated finite element neural network (I-FENN) framewor...
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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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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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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
Deep learning accelerated topology optimization of linear and nonlinear structures
The field of optimal design of linear elastic structures has seen many e...
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05/31/2019
