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20192021
most citedElectrochemical Modeling of GITT Measurements for Improved Solid-State Diffusion Coefficient Evaluation

5 citations · 5 across the 1 of their papers we have counts for

collaborators

5 papers

physics.app-ph20215 cited

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…

cond-mat.soft2021

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.…

cs.CE2021

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…

cs.CE2020

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…

eess.IV2019

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…