Machine learning models for predictive materials science from fundamental physics: An application to titanium and zirconium
Mashroor S. Nitol, Doyl Dickel, Christopher D. Barrett
Topics & Concepts
Materials sciencePhase diagramZirconiumArtificial neural networkTitaniumPhononMolecular dynamicsFormalism (music)Phase (matter)Atom (system on chip)Statistical physicsThermodynamicsMachine learningCondensed matter physicsComputer sciencePhysicsQuantum mechanicsEmbedded systemMetallurgyVisual artsArtMusicalMachine Learning in Materials ScienceNuclear Materials and PropertiesX-ray Diffraction in Crystallography