Showing 1 - 8 results of 8 for search 'Michael R. Tonks', query time: 0.04s Refine Results
  1. 1
    Assessment of four strain energy decomposition methods for phase field fracture models using quasi-static and dynamic benchmark cases

    Assessment of four strain energy decomposition methods for phase field fracture models using quasi-static and dynamic benchmark cases by Shuaifang Zhang, Wen Jiang, Michael R. Tonks

    Published 2022-01-01
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  2. 2
    Correction: Assessment of four strain energy decomposition methods for phase field fracture models using quasi-static and dynamic benchmark cases

    Correction: Assessment of four strain energy decomposition methods for phase field fracture models using quasi-static and dynamic benchmark cases by Shuaifang Zhang, Wen Jiang, Michael R. Tonks

    Published 2024-01-01
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  3. 3
    A triple junction energy study using an inclination-dependent anisotropic Monte Carlo Potts grain growth model

    A triple junction energy study using an inclination-dependent anisotropic Monte Carlo Potts grain growth model by Lin Yang, Vishal Yadav, Joseph Melville, Joel B. Harley, Amanda R. Krause, Michael R. Tonks

    Published 2024-03-01
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  4. 4
    A new efficient grain growth model using a random Gaussian-sampled mode filter

    A new efficient grain growth model using a random Gaussian-sampled mode filter by Joseph Melville, Vishal Yadav, Lin Yang, Amanda R. Krause, Michael R. Tonks, Joel B. Harley

    Published 2024-01-01
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  5. 5
    Automated, high-accuracy classification of textured microstructures using a convolutional neural network

    Automated, high-accuracy classification of textured microstructures using a convolutional neural network by Ishan D. Khurjekar, Bryan Conry, Michael S. Kesler, Michael R. Tonks, Amanda R. Krause, Joel B. Harley

    Published 2023-01-01
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  6. 6
    Modeling mesoscale fission gas behavior in UO2 by directly coupling the phase field method to spatially resolved cluster dynamics

    Modeling mesoscale fission gas behavior in UO2 by directly coupling the phase field method to spatially resolved cluster dynamics by Dong-Uk Kim, Sophie Blondel, David E. Bernholdt, Philip Roth, Fande Kong, David Andersson, Michael R. Tonks, Brian D. Wirth

    Published 2022-01-01
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  7. 7
    A novel physics-regularized interpretable machine learning model for grain growth

    A novel physics-regularized interpretable machine learning model for grain growth by Weishi Yan, Joseph Melville, Vishal Yadav, Kristien Everett, Lin Yang, Michael S. Kesler, Amanda R. Krause, Michael R. Tonks, Joel B. Harley

    Published 2022-10-01
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  8. 8
    PFHub: The Phase-Field Community Hub

    PFHub: The Phase-Field Community Hub by Daniel Wheeler, Trevor Keller, Stephen J. DeWitt, Andrea M. Jokisaari, Daniel Schwen, Jonathan E. Guyer, Larry K. Aagesen, Olle G. Heinonen, Michael R. Tonks, Peter W. Voorhees, James A. Warren

    Published 2019-09-01
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