Junyan He
Orcid: 0000-0002-9180-4439
According to our database1,
Junyan He
authored at least 14 papers
between 2020 and 2024.
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Bibliography
2024
Sequential Deep Operator Networks (S-DeepONet) for predicting full-field solutions under time-dependent loads.
Eng. Appl. Artif. Intell., January, 2024
Advanced Deep Operator Networks to Predict Multiphysics Solution Fields in Materials Processing and Additive Manufacturing.
CoRR, 2024
Geom-DeepONet: A Point-cloud-based Deep Operator Network for Field Predictions on 3D Parameterized Geometries.
CoRR, 2024
Material-Response-Informed DeepONet and its Application to Polycrystal Stress-strain Prediction in Crystal Plasticity.
CoRR, 2024
2023
Multi-component Predictions of Transient Solution Fields with Sequential Deep Operator Network.
CoRR, 2023
Effect of the cross-section architecture on the impact resistance of bio-inspired low-porosity structures using neural networks.
CoRR, 2023
CoRR, 2023
Novel DeepONet architecture to predict stresses in elastoplastic structures with variable complex geometries and loads.
CoRR, 2023
2022
On the use of graph neural networks and shape-function-based gradient computation in the deep energy method.
CoRR, 2022
LatticeOPT: A heuristic topology optimization framework for thin-walled, 2D extruded lattices.
CoRR, 2022
Exploring the structure-property relations of thin-walled, 2D extruded lattices using neural networks.
CoRR, 2022
2020
Checking Heteroscedasticity in Partially Linear Single-Index Models Using Pairwise Distance.
IEEE Access, 2020