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ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
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Dataset for Disentangled Generative AI-Guided Closed-Loop Optimization of Deposition Morphology in 3D Bioprinting

Authors: Zhang, Colin;

Dataset for Disentangled Generative AI-Guided Closed-Loop Optimization of Deposition Morphology in 3D Bioprinting

Abstract

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 statementThe 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

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average