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Center for Computing Research

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Publication	Type	Year
FitSNAP: Machine Learned Potentials for LAMMPS Gordon Research Conference (Computational Materials Science and Engineering) Andrew Dale Rohskopf, Charlie Sievers, Megan Jeanne McCarthy, James Michael Goff, Ember Layne Sikorski, Aidan P. Thompson, Mitchell Wood	Conference Poster – 2022 Conference Poster	2022
Machine-Learned Interatomic Potential Development for W-ZrC for Nuclear Fusion Gordon Research ConferenceComputational Materials Science and Engineering Ember Layne Sikorski, Mary Alice Cusentino, Megan Jeanne McCarthy, Julien Tranchida, Mitchell Wood, Aidan P. Thompson	Conference Poster – 2022 Conference Poster	2022
Machine-Learned Interatomic Potential Development for H Trapping in ZrC strengthened W Tms 2023 Ember Layne Sikorski, Mary Alice Cusentino, Megan Jeanne McCarthy, Julien Tranchida, Mitchell Wood, Aidan P. Thompson	Abstract – 2022 Abstract	2022
Molecular Dynamics Simulations of Mixed Materials Effects in Tungsten Tms 2023 Mary Alice Cusentino, Megan Jeanne McCarthy, Ember Layne Sikorski, Mitchell Wood, Aidan P. Thompson	Abstract – 2022 Abstract	2022
Development of SNAP potential for ZrC strengthened W 25th International Conference on Plasma Surface Interaction in Controlled Fusion Devices Ember Layne Sikorski, Julien Tranchida, Mary Alice Cusentino, Mitchell Wood, Aidan P. Thompson	Conference Presentation – 2022 Conference Presentation	2022
Machine-Learned Interatomic Potential Development for W-ZrC for Nuclear Fusion Gordon Research ConferenceComputational Materials Science and Engineering Ember Layne Sikorski, Mary Alice Cusentino, Megan Jeanne McCarthy, Julien Tranchida, Mitchell Wood, Aidan P. Thompson	Abstract – 2022 Abstract	2022
Machine Learned Interatomic Potential Development of W-ZrC for Fusion Divertor Microstructure and Thermomechanical Properties Multiscale Materials Modeling Ember Layne Sikorski, Mary Alice Cusentino, Megan Jeanne McCarthy, Julien Tranchida, Mitchell Wood, Aidan P. Thompson	Abstract – 2022 Abstract	2022
Molecular Dynamics Modeling of Hydrogen and Nitrogen Implantation in Tungsten Using Machine Learned Interatomic Potentials The 10th International Conference on Multiscale Materials Modeling Mary Alice Cusentino, Megan Jeanne McCarthy, Ember Layne Sikorski, Mitchell Wood, Aidan P. Thompson	Abstract – 2022 Abstract	2022
Machine Learned Interatomic Potential Development for W-ZrC American Physical Society March Meeting Ember Layne Sikorski, Julien Tranchida, Mary Alice Cusentino, Mitchell Wood, Aidan P. Thompson	Conference Presentation – 2022 Conference Presentation	2022
Development of SNAP potential for ZrC strengthened W 25th International Conference on Plasma Surface Interaction Ember Layne Sikorski, Julien Tranchida, Mary Alice Cusentino, Mitchell Wood, Aidan P. Thompson	Abstract – 2021 Abstract	2021
Machine Learned Interatomic Potential Development for W-ZrC APS March Meeting Ember Layne Sikorski, Julien Tranchida, Mary Alice Cusentino, Mitchell Wood, Aidan P. Thompson	Abstract – 2021 Abstract	2021
Document Title	Type	Year