Published February 10, 2026
| Version v0.0.1
Dataset
Open
Dataset for Disentangled Generative AI-Guided Closed-Loop Optimization of Deposition Morphology in 3D Bioprinting
Description
The dataset supports the findings presented in the paper "Disentangled Generative AI-Guided Closed-Loop Optimization of Deposition Morphology in 3D Bioprinting."
Keywords: Additive manufacturing; 3D bioprinting; printability; deposition morphology; machine learning; generative artificial intelligence; variational autoencoder
Code availability statement
The scripts used for data analysis, machine learning models, and numerical simulations in this study are available on GitHub at: https://github.com/KORINZ/generative-ai-bioprinting-framework
Files
ALG-Ph_HA-Ph_rheology_data.zip
Additional details
Software
- Repository URL
- https://github.com/KORINZ/generative-ai-bioprinting-framework
- Programming language
- Python
- Development Status
- Inactive