Surrogate-accelerated hierarchical Bayesian inference calibrates DPD models of Definity and SonoVue microbubbles from experimental compression and indentation data.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
A non-dimensional Kelvin impulse from bubble jet momentum yields a scaling law predicting oil droplet rupture by cavitation bubbles when exceeding a threshold set by Weber number and bubble-to-droplet size ratio.
citing papers explorer
-
Hierarchical Bayesian calibration of mesoscopic models for ultrasound contrast agents from force spectroscopy data
Surrogate-accelerated hierarchical Bayesian inference calibrates DPD models of Definity and SonoVue microbubbles from experimental compression and indentation data.
-
Free Surface Enhancement of Droplet Rupture by Cavitation Bubble Collapse
A non-dimensional Kelvin impulse from bubble jet momentum yields a scaling law predicting oil droplet rupture by cavitation bubbles when exceeding a threshold set by Weber number and bubble-to-droplet size ratio.