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A parsimonious inverse characterization procedure for soft material viscoelasticity. Laser-induced cavitation experiment data is processed according to an analytical energy budget framework to rapidly estimate an optimal set of viscoelastic model parameters.

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zhirenruns/parsimonious_IMR

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This repository contains the code for parsimonious inertial microcavitation rheometry (pIMR).

Data from multiple laser-induced cavitation experiments in a common soft hydrogel or liquid is post-processed collectively to inversely calibrate a finite deformation viscoelastic model for the characterized material. According to input values of (a) maximum bubble radius, (b) maximum stretch ratio, and (c) collapse time, we seek to minimize a cost function within the space of trial viscoelastic parameters. The cost function describes the agreement between the experimentally measured bubble collapse time $t_{\rm c}^{\rm Expt}$ and a theoretical prediction $t_{c}^{EB}$ corresponding to a set of viscoelastic parameters.

For detail, please refer to our paper: Zhu*, Remillard*, Abeid, Frolkin, Bryngelson, Yang, Rodriguez & Estrada. "Parsimonious inertial cavitation rheometry via bubble collapse time", (Soft Matter, 2025). (DOI: 10.1039/D5SM00397K)

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A parsimonious inverse characterization procedure for soft material viscoelasticity. Laser-induced cavitation experiment data is processed according to an analytical energy budget framework to rapidly estimate an optimal set of viscoelastic model parameters.

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