39 citations · 474 across the 54 of their papers we have counts for
8 papers · 1 filter
Grain boundary migration in polycrystalline -Fe
Zipeng Xu, Yu-Feng Shen, S. Kiana Naghibzadeh +8
High energy x-ray diffraction microscopy was used to image the microstructure of -Fe before and after a 600 C anneal. These data were used to determine the areas, curvat…
A Dimensionally-Reduced Nonlinear Elasticity Model for Liquid Crystal Elastomer Strips with Transverse Curvature
Kevin LoGrande, M. Ravi Shankar, Kaushik Dayal
Liquid Crystalline Elastomers (LCEs) are active materials that are of interest due to their programmable response to various external stimuli such as light and heat. When exposed t…
Deformation Decomposition versus Energy Decomposition for Chemo- and Poro- Mechanics
Janel Chua, Mina Karimi, Patrick Kozlowski +5
We briefly compare the structure of two classes of popular models used to describe poro- and chemo- mechanics wherein a fluid phase is transported within a solid phase. The multipl…
Statistical field theory for nonlinear elasticity of polymer networks with excluded volume interactions
Pratik Khandagale, Timothy Breitzman, Carmel Majidi +1
Polymer networks formed by cross linking flexible polymer chains are ubiquitous in many natural and synthetic soft-matter systems. Current micromechanics models generally do not ac…
Hessian-informed Hamiltonian Monte Carlo for high-dimensional problems
Mina Karimi, Kaushik Dayal, Matteo Pozzi
We investigate the effect of using local and non-local second derivative information on the performance of Hamiltonian Monte Carlo (HMC) sampling methods, for high-dimension non-Ga…
Discrete-to-Continuum Limits of Long-Range Electrical Interactions in Nanostructures
Prashant K. Jha, Timothy Breitzman, Kaushik Dayal
We consider electrostatic interactions in two classes of nanostructures embedded in a three dimensional space: (1) helical nanotubes, and (2) thin films with uniform bending (i.e.,…
High-dimensional Nonlinear Bayesian Inference of Poroelastic Fields from Pressure Data
Mina Karimi, Mehrdad Massoudi, Kaushik Dayal +1
We investigate solution methods for large-scale inverse problems governed by partial differential equations (PDEs) via Bayesian inference. The Bayesian framework provides a statist…
Distal and non-symmetrical crack nucleation in delamination of plates via dimensionally-reduced peridynamics
Riccardo Cavuoto, Arsenio Cutolo, Kaushik Dayal +2
Exploiting the framework of peridynamics, a dimensionally-reduced plate formulation is developed that allows for the through-thickness nucleation and growth of fracture surfaces, e…