
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
| 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). | 0 | |
| 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. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
