117 citations · 148 across the 5 of their papers we have counts for
5 papers
Strain energy density as a Gaussian process and its utilization in stochastic finite element analysis: application to planar soft tissues
Ankush Aggarwal, Bjørn Sand Jensen, Sanjay Pant +1
Data-based approaches are promising alternatives to the traditional analytical constitutive models for solid mechanics. Herein, we propose a Gaussian process (GP) based constitutiv…
A Bayesian constitutive model selection framework for biaxial mechanical testing of planar soft tissues: application to porcine aortic valves
Ankush Aggarwal, Luke T. Hudson, Devin W. Laurence +2
A variety of constitutive models have been developed for soft tissue mechanics. However, there is no established criterion to select a suitable model for a specific application. Al…
A Physics-Guided Neural Operator Learning Approach to Model Biological Tissues from Digital Image Correlation Measurements
Huaiqian You, Quinn Zhang, Colton J. Ross +3
We present a data-driven workflow to biological tissue modeling, which aims to predict the displacement field based on digital image correlation (DIC) measurements under unseen loa…
Cryopreservation of seeds of blue waterlily (Nymphaea caerulea) using glutathione adding plant vitrification solution, PVS+
Chung-Hao Lee
Nymphaea caerulea is a valuable freshwater aquatic plant, not only because of its ornamental value but also its extractions for chemical and medical uses. It is necessary to store…
Learning Deep Implicit Fourier Neural Operators (IFNOs) with Applications to Heterogeneous Material Modeling
Huaiqian You, Quinn Zhang, Colton J. Ross +2
Constitutive modeling based on continuum mechanics theory has been a classical approach for modeling the mechanical responses of materials. However, when constitutive laws are unkn…