Found 9 resultsAuthor [ Title] Type Year
Filters: Author is A. R. Natarajan [Clear All Filters]
Crystallography, thermodynamics and phase transitions in refractory binary alloys." Acta Materialia 200 (2020)."
First-principles statistical mechanics of multicomponent crystals." Annual Review of Materials Research 48 (2018)."
Linking electronic structure calculations to generalized stacking fault energies in multicomponent alloys." NPJ Computational Materials 6 (2020): 80."
Machine learning materials physics: Integrable deep neural networks enable scale bridging by learning free energy functions." Computer Methods in Applied Mechanics and Engineering 353, no. 15 (2019)."
Machine learning the density functional theory potential energy surface for the inorganic halide perovskite CsPbBr3." Physical Review B 100 (2019)."
Machine-learning the configurational energy of multicomponent crystalline solids." npj Computational Materials 4 (2018)."
Scale bridging materials physics: Active learning workflows and integrable deep neural networks for free energy function representations in alloys." Computer Methods in Applied Mechanics and Engineering 371 (2020)."
Stability and strain-driven evolution of β′ precipitate in Mg-Y alloys." Acta Materialia 166 (2019)."
Toward an understanding of deformation mechanisms in metallic lithium and sodium from first principles." Chemistry of Materials (2019)."