1 citations · 2 across the 9 of their papers we have counts for
10 papers
Physics-aware global Rietveld refinement for high-energy X-ray diffraction microscopy with application to reconstructing intragranular orientation and strain fields
Carter K. Cocke, Eitan Camacho, Sara F. Gorske +2
High-energy X-ray diffraction microscopy (HEDM) has emerged as a critical technique for studying the microstructure and, increasingly, strain fields in solids. However, current alg…
Learning viscoplastic constitutive behavior from experiments: II. Dynamic indentation
Andrew Akerson, Aakila Rajan, Daniel Casem +1
We continue the development of a method to accurately and efficiently identify the constitutive behavior of complex materials through full-field observations that we started in Ake…
Learning a potential formulation for rate-and-state friction
Shengduo Liu, Kaushik Bhattacharya, Nadia Lapusta
Empirical rate-and-state friction laws are widely used in geophysics and engineering to simulate interface slip. They postulate that the friction coefficient depends on the local s…
On recovering intragranular strain fields from grain-averaged strains obtained by high-energy X-ray diffraction microscopy
C. K. Cocke, A. Akerson, S. F. Gorske +2
We address an unusual problem in the theory of elasticity motivated by the problem of reconstructing the strain field from partial information obtained using X-ray diffraction. Ref…
Adhesion of a nematic elastomer cylinder
Ameneh Maghsoodi, Kaushik Bhattacharya
Liquid crystal elastomers are cross-linked elastomer networks with liquid crystal mesogens incorporated into the main or side chain. Polydomain liquid crystalline (nematic) elastom…
Iterated learning and multiscale modeling of history-dependent architectured metamaterials
Yupeng Zhang, Kaushik Bhattacharya
Neural network based models have emerged as a powerful tool in multiscale modeling of materials. One promising approach is to use a neural network based model, trained using data g…
Accelerated Computational Micromechanics for Reactive Flow in Porous Media
Mina Karimi, Kaushik Bhattacharya
Reactive transport in permeable porous media is relevant for a variety of applications, but poses a significant challenge due to the range of length and time scales. Multiscale met…
Optical penetration depth and periodic motion of a photomechanical strip
Ameneh Maghsoodi, Kaushik Bhattacharya
Liquid crystal elastomers (LCEs) containing light-sensitive molecules exhibit large reversible deformation when subjected to illumination. Here, we investigate the role of optical…
A learning-based multiscale model for reactive flow in porous media
Mina Karimi, Kaushik Bhattacharya
We study solute-laden flow through permeable geological formations with a focus on advection-dominated transport and volume reactions. As the fluid flows through the permeable medi…
Learning the Effective Adhesive Properties of Heterogeneous Substrates
Maximo Cravero Baraja, Kaushik Bhattacharya
Adhesion is a fundamental phenomenon that plays a role in many engineering and biological applications. This paper concerns the use of machine learning to characterize the effectiv…