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Publication	Type	Year
Training Machine Learned Interatomic Potentials for Chemical Complexity - Application to Refractory Complex Concentrated Alloys Gordon Research Conference - Computational Materials Science and Engineering Megan Jeanne McCarthy, Jacob Kyle Startt, Remi Philippe Michel Dingreville, Mitchell Wood	Conference Poster – 2022 Conference Poster	2022
Training Machine Learned Interatomic Potentials for Chemical Complexity - Application to Refractory CCAs The Minerals, Metals, and Materials Society (TMS) 2023 Annual Meeting and Exhibition Megan Jeanne McCarthy, Jacob Kyle Startt, Remi Philippe Michel Dingreville, Aidan P. Thompson, Mitchell Wood	Abstract – 2022 Abstract	2022
Exploring refractory complex concentrated alloy behavior in the fusion reactor environment with a machine-learned interatomic potential PSI-2525th International Conference on Plasma Surface Interaction in Controlled Fusion Devices Megan Jeanne McCarthy, Jacob Kyle Startt, Remi Philippe Michel Dingreville, Mitchell Wood	Conference Presentation – 2022 Conference Presentation	2022
Training Machine Learned Interatomic Potentials for Chemical Complexity - Application to Refractory CCAs Gordon Research Conference - Computational Materials Science and Engineering Megan Jeanne McCarthy, Jacob Kyle Startt, Remi Philippe Michel Dingreville, Aidan P. Thompson, Mitchell Wood	Abstract – 2022 Abstract	2022
Exploring the behavior of MoNbTaTi refractory CCAs across composition space using a machine learned interatomic potential The 10th International Conference on Multiscale Materials Modeling Megan Jeanne McCarthy, Jacob Kyle Startt, Remi Philippe Michel Dingreville, Aidan P. Thompson, Mitchell Wood	Abstract – 2022 Abstract	2022
Training Machine Learned Interatomic Potentials for Chemical Complexity - Application to Refractory CCAs APS March Meeting 2022 Megan Jeanne McCarthy, Jacob Kyle Startt, Remi Philippe Michel Dingreville, Mitchell Wood	Conference Presentation – 2022 Conference Presentation	2022
Expediting the materials discovery process of MPEAs through atomistic modeling and machine learning techniques TMS 2022 Annual Meeting & Exhibition Jacob Kyle Startt, Mitchell Wood, Megan Jeanne McCarthy, Andrew Kustas, Sean Donegan, Remi Philippe Michel Dingreville	Conference Presentation – 2022 Conference Presentation	2022
Exploring refractory complex concentrated alloy behavior in the fusion reactor environment with a machine-learned interatomic potential PSI-25 25th International Conference on Plasma Surface Megan Jeanne McCarthy, Jacob Kyle Startt, Remi Philippe Michel Dingreville, Mitchell Wood, Aidan P. Thompson	Abstract – 2021 Abstract	2021
Training Machine Learned Interatomic Potentials for Chemical Complexity - Application to Refractory CCAs American Physical Society, March Meeting 2021 Megan Jeanne McCarthy, Jacob Kyle Startt, Remi Philippe Michel Dingreville, Mitchell Wood	Abstract – 2021 Abstract	2021
Expediting the materials discovery process of RHEAs through efficient coupling of high-throughput density functional theory, molecular dynamics and machine learning techniques TMS Spring 2022 Conference Jacob Kyle Startt, Mitchell Wood, Sean Donegan, Remi Philippe Michel Dingreville	Abstract – 2021 Abstract	2021
Document Title	Type	Year