Publications

Found 6 results
Author Title [ Type(Desc)] Year
Filters: Author is A. R. Natarajan  [Clear All Filters]
Journal Article
A. Van der Ven, J. C. Thomas, B. Puchala, and A. R. Natarajan. "First-principles statistical mechanics of multicomponent crystals." Annual Review of Materials Research 48 (2018).
Teichert, G. H., A. R. Natarajan, A. Van der Ven, and K. Garikipati. "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).
Thomas, J. C., J. S. Bechtel, A. R. Natarajan, and A. Van der Ven. "Machine learning the density functional theory potential energy surface for the inorganic halide perovskite CsPbBr3." Physical Review B 100 (2019).
Natarajan, A. R., and A. Van der Ven. "Machine-learning the configurational energy of multicomponent crystalline solids." npj Computational Materials 4 (2018).
Solomon, E. L. S., A. R. Natarajan, A. M. Roy, V. Sundararaghavan, A. Van der Ven, and E. A. Marquis. "Stability and strain-driven evolution of β′ precipitate in Mg-Y alloys." Acta Materialia 166 (2019).
Natarajan, A. R., and A. Van der Ven. "Toward an understanding of deformation mechanisms in metallic lithium and sodium from first principles." Chemistry of Materials (2019).