Datasets › DeepNetBeam
DeepNetBeam
The code and database provided in this repository are related to the paper "DeepNetBeam: A Framework for the Analysis of Functionally Graded Porous Beams", which explores the application of various machine-learning techniques for the analysis of functionally graded porous beams. The three approaches (PINN, DEM, Neural Operator) are implemented to allow flexibility and extension for future use.
The datasets cover the required database for sections 2 and 3.
You can also generate the datasets using the provided scripts.
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
No task tagged in the archive.
License archive 2025-07-28
CC BY
Modalities archive 2025-07-28
No modality tagged.
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- DeepNetBeam
1 variant name, as the archive lists them.
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