59 citations · 113 across the 6 of their papers we have counts for
6 papers
A Pseudo-Two-Dimensional (P2D) Model for FeS2 Conversion Cathode Batteries
Jeffrey S. Horner, Grace Whang, Igor V. Kolesnichenko +3
Conversion cathode materials are gaining interest for secondary batteries due to their high theoretical energy and power density. However, practical application as a secondary batt…
Electrochemical Modeling of GITT Measurements for Improved Solid-State Diffusion Coefficient Evaluation
Jeffrey S. Horner, Grace Whang, David S. Ashby +5
Galvanostatic Intermittent Titration Technique (GITT) is widely used to evaluate solid-state diffusion coefficients in electrochemical systems. However, the existing analysis metho…
Jamming of Bidisperse Frictional Spheres
Ishan Srivastava, Scott A. Roberts, Joel T. Clemmer +3
By generalizing a geometric argument for frictionless spheres, a model is proposed for the jamming density of mechanically stable packings of bidisperse, frictional spheres.…
Mesoscale simulation of woven composite design decisions
Lincoln N. Collins, Scott A. Roberts
Characterizing the connection between material design decisions/parameters and their effective properties allows for accelerated materials development and optimization. We present…
Quantifying the unknown impact of segmentation uncertainty on image-based simulations
Michael C. Krygier, Tyler LaBonte, Carianne Martinez +5
Image-based simulation, the use of 3D images to calculate physical quantities, fundamentally relies on image segmentation to create the computational geometry. However, this proces…
We Know Where We Don't Know: 3D Bayesian CNNs for Credible Geometric Uncertainty
Tyler LaBonte, Carianne Martinez, Scott A. Roberts
Deep learning has been successfully applied to the segmentation of 3D Computed Tomography (CT) scans. Establishing the credibility of these segmentations requires uncertainty quant…