Litcius/Paper detail

Predicting the energetics and kinetics of Cr atoms in Fe-Ni-Cr alloys via physics-based machine learning

Yuchu Wang, Bita Ghaffari, Christopher D. Taylor, Simon N. Lekakh, Mei Li, Yue Fan

2021Scripta Materialia26 citationsDOI

Topics & Concepts

ElectronegativityMaterials scienceAusteniteKinetic energyInteratomic potentialThermodynamicsGrain boundaryMetallurgyMolecular dynamicsMicrostructurePhysicsComputational chemistryChemistryQuantum mechanicsHydrogen embrittlement and corrosion behaviors in metalsMachine Learning in Materials ScienceMicrostructure and Mechanical Properties of Steels