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Hybrid analytical surrogate-based process optimization via Bayesian symbolic regression
<p>Dataset associated with the publication "Hybrid analytical surrogate-based process optimization via Bayesian symbolic regression" by Sachin Jog, Daniel Vázquez, Lucas F. Santos, José A. Caballero, and Gonzalo Guillén-Gosálbez. The dataset includes the parameters used in the DACE BB models of case studies 1 and 2, described in sections 5.1.3 and 5.2.3 of the supplementary material, respectively.</p>
ShareScore
32/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 0