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Elizabeth A Holm

Showing results (1-10 of 12) with videos related to

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Science (New York, N.Y.)|April 6, 2019
In defense of the black boxElizabeth A Holm
Data in Brief|September 20, 2018
A dataset of synthetic face centered cubic 3D polycrystalline microstructures, grain-wise microstructural descriptors and grain averaged stress fields under uniaxial tensile deformationAnkita Mangal, Elizabeth A Holm
Scientific Reports|December 5, 2024
Graph convolutional network for predicting abnormal grain growth in Monte Carlo simulations of microstructural evolutionRyan Cohn, Elizabeth A Holm
Data in Brief|December 7, 2018
A dataset of synthetic hexagonal close packed 3D polycrystalline microstructures, grain-wise microstructural descriptors and grain averaged stress fields under uniaxial tensile deformation for two sets of constitutive parametersAnkita Mangal, Elizabeth A Holm
Science (New York, N.Y.)|May 29, 2010
How grain growth stops: a mechanism for grain-growth stagnation in pure materialsElizabeth A Holm, Stephen M Foiles
Data in Brief|June 2, 2018
Corrigendum to "A large dataset of synthetic SEM images of powder materials and their ground truth 3D structures" [Data Brief 9 (2016) 727-731]Brian L DeCost, Elizabeth A Holm
Data in Brief|November 11, 2016
A large dataset of synthetic SEM images of powder materials and their ground truth 3D structuresBrian L DeCost, Elizabeth A Holm
Nanoscale Advances|September 22, 2022
A transfer learning approach for improved classification of carbon nanomaterials from TEM imagesQixiang Luo, Elizabeth A Holm, Chen Wang
Microscopy and Microanalysis : the Official Journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada|March 15, 2019
High Throughput Quantitative Metallography for Complex Microstructures Using Deep Learning: A Case Study in Ultrahigh Carbon SteelBrian L DeCost, Bo Lei, Toby Francis, et al.
Nature Materials|January 10, 2006
Computing the mobility of grain boundariesKoenraad G F Janssens, David Olmsted, Elizabeth A Holm, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Science (New York, N.Y.)|April 6, 2019
In defense of the black boxElizabeth A Holm
Data in Brief|September 20, 2018
A dataset of synthetic face centered cubic 3D polycrystalline microstructures, grain-wise microstructural descriptors and grain averaged stress fields under uniaxial tensile deformationAnkita Mangal, Elizabeth A Holm
Scientific Reports|December 5, 2024
Graph convolutional network for predicting abnormal grain growth in Monte Carlo simulations of microstructural evolutionRyan Cohn, Elizabeth A Holm
Data in Brief|December 7, 2018
A dataset of synthetic hexagonal close packed 3D polycrystalline microstructures, grain-wise microstructural descriptors and grain averaged stress fields under uniaxial tensile deformation for two sets of constitutive parametersAnkita Mangal, Elizabeth A Holm
Science (New York, N.Y.)|May 29, 2010
How grain growth stops: a mechanism for grain-growth stagnation in pure materialsElizabeth A Holm, Stephen M Foiles
Data in Brief|June 2, 2018
Corrigendum to "A large dataset of synthetic SEM images of powder materials and their ground truth 3D structures" [Data Brief 9 (2016) 727-731]Brian L DeCost, Elizabeth A Holm
Data in Brief|November 11, 2016
A large dataset of synthetic SEM images of powder materials and their ground truth 3D structuresBrian L DeCost, Elizabeth A Holm
Nanoscale Advances|September 22, 2022
A transfer learning approach for improved classification of carbon nanomaterials from TEM imagesQixiang Luo, Elizabeth A Holm, Chen Wang
Microscopy and Microanalysis : the Official Journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada|March 15, 2019
High Throughput Quantitative Metallography for Complex Microstructures Using Deep Learning: A Case Study in Ultrahigh Carbon SteelBrian L DeCost, Bo Lei, Toby Francis, et al.
Nature Materials|January 10, 2006
Computing the mobility of grain boundariesKoenraad G F Janssens, David Olmsted, Elizabeth A Holm, et al.
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