Publications
Publication | Type | Year |
---|---|---|
Training Machine Learned Interatomic Potentials for Chemical Complexity - Application to Refractory Complex Concentrated AlloysGordon Research Conference - Computational Materials Science and Engineering
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Conference Poster – 2022 Conference Poster | 2022 |
FitSNAP: Machine Learned Potentials for LAMMPSGordon Research Conference (Computational Materials Science and Engineering)
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Conference Poster – 2022 Conference Poster | 2022 |
Machine-Learned Interatomic Potential Development for W-ZrC for Nuclear FusionGordon Research ConferenceComputational Materials Science and Engineering
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Conference Poster – 2022 Conference Poster | 2022 |
Training Machine Learned Interatomic Potentials for Chemical Complexity - Application to Refractory CCAsThe Minerals, Metals, and Materials Society (TMS) 2023 Annual Meeting and Exhibition
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Abstract – 2022 Abstract | 2022 |
Building a new generation of multiscale materials models with machine-learned interatomic potentialsMachine Learning Deep Learning Workshop
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Conference Presentation – 2022 Conference Presentation | 2022 |
Machine-Learned Interatomic Potential Development for H Trapping in ZrC strengthened WTms 2023
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Abstract – 2022 Abstract | 2022 |
Molecular Dynamics Simulations of Mixed Materials Effects in TungstenTms 2023
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Abstract – 2022 Abstract | 2022 |
Exploring refractory complex concentrated alloy behavior in the fusion reactor environment with a machine-learned interatomic potentialPSI-2525th International Conference on Plasma Surface Interaction in Controlled Fusion Devices
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Conference Presentation – 2022 Conference Presentation | 2022 |
Machine-Learned Interatomic Potential Development for W-ZrC for Nuclear FusionGordon Research ConferenceComputational Materials Science and Engineering
|
Abstract – 2022 Abstract | 2022 |
Machine Learned Interatomic Potential Development of W-ZrC for Fusion Divertor Microstructure and Thermomechanical PropertiesMultiscale Materials Modeling
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Abstract – 2022 Abstract | 2022 |
Training Machine Learned Interatomic Potentials for Chemical Complexity - Application to Refractory CCAsGordon Research Conference - Computational Materials Science and Engineering
|
Abstract – 2022 Abstract | 2022 |
Exploring the behavior of MoNbTaTi refractory CCAs across composition space using a machine learned interatomic potentialThe 10th International Conference on Multiscale Materials Modeling
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Abstract – 2022 Abstract | 2022 |
Molecular Dynamics Modeling of Hydrogen and Nitrogen Implantation in Tungsten Using Machine Learned Interatomic PotentialsThe 10th International Conference on Multiscale Materials Modeling
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Abstract – 2022 Abstract | 2022 |
Training Machine Learned Interatomic Potentials for Chemical Complexity - Application to Refractory CCAsAPS March Meeting 2022
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Conference Presentation – 2022 Conference Presentation | 2022 |
Expediting the materials discovery process of MPEAs through atomistic modeling and machine learning techniquesTMS 2022 Annual Meeting & Exhibition
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Conference Presentation – 2022 Conference Presentation | 2022 |
Local and Near-Boundary Environments in NbMoTaW Refractory Multi-Principal Element Alloy2nd World Congress on High Entropy Alloys (HEA 2021)
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Conference Presentation – 2021 Conference Presentation | 2021 |
Exploring refractory complex concentrated alloy behavior in the fusion reactor environment with a machine-learned interatomic potentialPSI-25 25th International Conference on Plasma Surface
|
Abstract – 2021 Abstract | 2021 |
Training Machine Learned Interatomic Potentials for Chemical Complexity - Application to Refractory CCAsAmerican Physical Society, March Meeting 2021
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Abstract – 2021 Abstract | 2021 |
Document Title | Type | Year |