Training Machine Learned Interatomic Potentials for Chemical Complexity - Application to Refractory CCAs .
Abstract not provided.
McCarthy, Megan↗
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Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.
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Interactions between interfacial disconnections and facet junctions: implications for faceting and boundary evolution .
Abstract not provided.
Medlin, Douglas↗
Laser Beam Directed Energy Deposition Process Optimization for Refractory High Entropy Alloys (RHEAs).
Abstract not provided.
Barrick, Erin↗
Reconstruction of sparse, nanoscale metrology data for efficient process control.
Abstract not provided.
Natinski↗
Expediting the materials discovery process of MPEAs through atomistic modeling and machine learning techniques.
Abstract not provided.
Startt, Jacob↗
Connecting thermal stability to fatigue and wear resistance in nanocrystalline metals.
Abstract not provided.
Boyce, Brad↗
Chemical gradients to control stability and mechanical behavior in nanostructured Pt-Au.
Abstract not provided.
Boyce, Brad↗
Self-organizing gradient nanostructures via chemical heterogeneities.
Abstract not provided.
Boyce, Brad↗
Exploring refractory complex concentrated alloy behavior in the fusion reactor environment with a machine-learned interatomic potential.
Abstract not provided.
McCarthy, Megan↗
Training Machine Learned Interatomic Potentials for Chemical Complexity - Application to Refractory Complex Concentrated Alloys.
Abstract not provided.
McCarthy, Megan↗
Inferring Topological Transitions in pattern-forming processes via self-supervised learning.
Abstract not provided.
Dingreville, Remi↗
Exploring refractory complex concentrated alloy behavior in the fusion reactor environment with a machine-learned interatomic potential.
Abstract not provided.
McCarthy, Megan↗
Challenging the Limits Surrounding the Adoption of AI-Guided Manufacturing for Materials Reliability.
Abstract not provided.
Dingreville, Remi↗