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

  • 1. ROR icon Osaka University

Contributors

Data collector:

Supervisor:

  • 1. ROR icon Osaka University

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

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Additional details

Software

Repository URL
https://github.com/KORINZ/generative-ai-bioprinting-framework
Programming language
Python
Development Status
Inactive