Pages that link to "Item:Q1985529"
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The following pages link to Uncertainty quantification guided robust design for nanoparticles' morphology (Q1985529):
Displaying 6 items.
- On predicting heterogeneity in nanoparticle dosage (Q2103614) (← links)
- Statistical and parametric instability analysis for delivery of nanoparticles through embedded DWCNT (Q2139298) (← links)
- Bayesian neural networks for uncertainty quantification in data-driven materials modeling (Q2246265) (← links)
- Optimization of parameters for the fabrication of gelatin nanoparticles by the Taguchi robust design method (Q3183854) (← links)
- Mixed aleatory and epistemic uncertainty propagation using Dempster-Shafer theory (Q6136569) (← links)
- Mixed uncertainty analysis on pumping by peristaltic hearts using Dempster-Shafer theory (Q6564470) (← links)