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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
Multimode Metastructures: Novel Hybrid 3D Lattice Topologies Brad Boyce, Anthony Garland, Benjamin C White, Bradley Howell Jared, Kaitlynn Conway, Katerina Adstedt, Remi Philippe Michel Dingreville, Joshua Robbins, Timothy Walsh, Timothy Alvis, Brittany Ann Branch, Bryan James Kaehr, Cody Kunka, Nicholas Leathe https://www.osti.gov/search/identifier:1819411	SAND Report – 2021 SAND Report	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
Exploring Wave Propagation in Heterogeneous Metastructures Using the Relaxed Micromorphic Model Journal of the Mechanics and Physics of Solids Ryan Alberdi, Joshua Robbins, Timothy Walsh, Remi Philippe Michel Dingreville https://www.osti.gov/search/identifier:1810340	Journal Article – 2021 Journal Article	2021
Multi-Morphology Lattices Lead to Improved Plastic Energy Absorption Materials & Design Ryan Alberdi, Remi Philippe Michel Dingreville, Joshua Robbins, Timothy Walsh, Benjamin C White, Bradley Howell Jared, Brad Boyce https://www.osti.gov/search/identifier:1634810	Journal Article – 2020 Journal Article	2020
Multi-Morphology Lattices Lead to Improved Plastic Energy Absorption Materials & Design Ryan Alberdi, Remi Philippe Michel Dingreville, Joshua Robbins, Timothy Walsh, Benjamin C White, Bradley Howell Jared, Brad Boyce https://www.osti.gov/search/identifier:1670179	Journal Article – 2020 Journal Article	2020
Topology Optimization Considering Elastoplastic Softening Under Finite Deformations Using Micromorphic Regularization Engineering Mechanics Institute Conference Ryan Alberdi, Remi Philippe Michel Dingreville, Joshua Robbins, Timothy Walsh	Abstract – 2020 Abstract	2020
Radiation-Driven Structural Transition Of Grain Boundries In Model High Entropy Alloys Remi Philippe Michel Dingreville, Mary Alice Cusentino, Mitchell Wood	SAND Report – 2019 SAND Report	2019
Nonlinear Topology Optimization with Microstructural Effects: A Micromorphic Approach Engineering Mechanics Institute Conference 2019 Ryan Alberdi, Remi Philippe Michel Dingreville, Joshua Robbins, Timothy Walsh https://www.osti.gov/search/identifier:1640799	Conference Paper – 2019 Conference Paper	2019
Status Report: Uncertainty Quantification of Environmentally Assisted Stress Corrosion Cracking in Used Fuel Canisters Christopher John O'Brien, Alexander Chris, Charles R. Bryan, Eric John Schindelholz, Remi Philippe Michel Dingreville https://www.osti.gov/search/identifier:1761984	Report – 2019 Report	2019
Nonlinear Topology Optimization with Microstructural Effects - A Micromorphic Approach Engineering Mechanics Institute Conference 2019 Remi Philippe Michel Dingreville, Ryan Alberdi, Joshua Robbins, Timothy Walsh	Abstract – 2019 Abstract	2019
Posters for AA/CE Reception AA/CE Reception Robert J. Kuether, Brooke Marie Allensworth, Adam Backer, Elton Y Chen, Remi Philippe Michel Dingreville, Eric Christopher Forrest, Robert Knepper, Alexander S. Tappan, Michael P. Marquez, Jonathan George Vasiliauskas, Stephen George Rupper, Michael James Grant, Lauren Claire Atencio, Tyler John Hipple, Danae Maria Maes, Jerilyn A. Timlin, Tian J. Ma, Rudy J. Garcia, Forest Danford, Laura Patrizi, Jennifer Galasso, Timothy J. Draelos, Thushara Gunda, Otoniel Venezuela, Wesley Alexander Brooks, Stephen Michael Anthony, Bryan Carson, Michael Johnathan Reeves, Matthew Roach, Erin Maines, Judith Maria Lavin, Shaun R Whetten, Laura Painton Swiler https://www.osti.gov/search/identifier:1592652	Display or Poster (non-conference) – 2018 Display or Poster (non-conference)	2018
A Holistic Atmospheric Stress Corrosion Cracking Model for Risk-Informed Assessment to Improve Used Fuel Canisters Management and Maintenance Optimization International High-Level Radioactive Waste Management 2019 (IHLRWM 2019) Remi Philippe Michel Dingreville, Charles R. Bryan, Eric John Schindelholz, Christopher John O'Brien, Christopher (USF) Alexander	Abstract – 2018 Abstract	2018
8840/8850 summer internship mini symposium 8840/8850 summer internship mini symposium Troy Christopher Haskin, Zachary Kyle Jankovsky, Bibiana Elisabeth Seng, Brian Cohn, Alan Scott Evans, Catherine Wright, Ethan Andrew Sena, Eduardo Basurto, Elton Y Chen, Carlos Miguel Lopez, Zacharia William Stuart, Douglas Osborn, Timothy A. Wheeler, Bobby Middleton, Alice Baca Muna, Dusty Marie Brooks, Remi Philippe Michel Dingreville, Elena Arkadievna Kalinina, Matthew R Denman https://www.osti.gov/search/identifier:1464682	Presentation (non-conference) – 2017 Presentation (non-conference)	2017
Fragmentation prediction for a brittle ceramic: A integrated two-scale model approach Ans 2017 Christopher John O'Brien, John Bignell, Remi Philippe Michel Dingreville, Pierre-Alexandre Juan https://www.osti.gov/search/identifier:1458290	Conference Paper – 2017 Conference Paper	2017
Fragmentation prediction for a brittle ceramic: an integrated two-scale model approach 2017 American Nuclear Society Annual Meeting Pierre-Alexandre Juan, Christopher John O'Brien, Pierre-Alexandre Juan, John Bignell, Remi Philippe Michel Dingreville	Abstract – 2017 Abstract	2017
Atomistic Simulation Techniques to Model Hydrogen Segregation and Hydrogen Embrittlement in Metallic Materials Nanomechanics Remi Philippe Michel Dingreville, Christopher John O'Brien, Douglas (UFL) Spearot https://www.osti.gov/search/identifier:1347653	Book – 2016 Book	2016
Document Title	Type	Year

Results 1–25 of 29

Publications

Training Machine Learned Interatomic Potentials for Chemical Complexity - Application to Refractory Complex Concentrated Alloys

Training Machine Learned Interatomic Potentials for Chemical Complexity - Application to Refractory CCAs

Exploring refractory complex concentrated alloy behavior in the fusion reactor environment with a machine-learned interatomic potential

Training Machine Learned Interatomic Potentials for Chemical Complexity - Application to Refractory CCAs

Exploring the behavior of MoNbTaTi refractory CCAs across composition space using a machine learned interatomic potential

Training Machine Learned Interatomic Potentials for Chemical Complexity - Application to Refractory CCAs

Expediting the materials discovery process of MPEAs through atomistic modeling and machine learning techniques

Exploring refractory complex concentrated alloy behavior in the fusion reactor environment with a machine-learned interatomic potential

Training Machine Learned Interatomic Potentials for Chemical Complexity - Application to Refractory CCAs

Multimode Metastructures: Novel Hybrid 3D Lattice Topologies

Expediting the materials discovery process of RHEAs through efficient coupling of high-throughput density functional theory, molecular dynamics and machine learning techniques

Exploring Wave Propagation in Heterogeneous Metastructures Using the Relaxed Micromorphic Model

Multi-Morphology Lattices Lead to Improved Plastic Energy Absorption

Multi-Morphology Lattices Lead to Improved Plastic Energy Absorption

Topology Optimization Considering Elastoplastic Softening Under Finite Deformations Using Micromorphic Regularization

Radiation-Driven Structural Transition Of Grain Boundries In Model High Entropy Alloys

Nonlinear Topology Optimization with Microstructural Effects: A Micromorphic Approach

Status Report: Uncertainty Quantification of Environmentally Assisted Stress Corrosion Cracking in Used Fuel Canisters

Nonlinear Topology Optimization with Microstructural Effects - A Micromorphic Approach

Posters for AA/CE Reception

A Holistic Atmospheric Stress Corrosion Cracking Model for Risk-Informed Assessment to Improve Used Fuel Canisters Management and Maintenance Optimization

8840/8850 summer internship mini symposium

Fragmentation prediction for a brittle ceramic: A integrated two-scale model approach

Fragmentation prediction for a brittle ceramic: an integrated two-scale model approach

Atomistic Simulation Techniques to Model Hydrogen Segregation and Hydrogen Embrittlement in Metallic Materials