Publications
Found 20 results
[ Author] Title Type Year Filters: First Letter Of Last Name is T [Clear All Filters]
Identifying the Distribution of Al3+ in LiNi0.8Co0.15Al0.05O2." Chemistry of Materials 28 (2016): 8170-8180.
"Potassium Ordering and Structural Phase Stability in Layered KxCoO2." ACS Applied Energy Materials (2019).
"Solute segregation and deviation from bulk thermodynamics at nanoscale crystalline defects." Science Advances 2 (2016): e1601796.
"Recent advances and future needs in computational approaches for materials discovery and development." MRS Communications 12 (2022): 989-990.
"Phase stability analysis of the InAs/GaAs (001) wetting layer from first principles." Physical Review B 89 (2014): 205306.
"Considerations for surface reconstruction stability prediction on GaAs (001)." Physical Review B 87 (2013): 075320.
"Finite-temperature properties of strongly anharmonic and mechanically unstable crystal phases from first principles." Physical Review B 88 (2013): 214111.
"Systematic approach for determination of equilibrium atomic surface structure." Physical Review B 82 (2010): 165434.
"Surface atomic order of compound III-V semiconductor alloys at finite temperature." Physical Review B 80 (2009): 125315.
"The exploration of nonlinear elasticity and its efficient parameterization for crystalline materials." Journal of the Mechanics and Physics of Solids (2017).
"Order parameters for symmetry-breaking structural transitions: The tetragonal-monoclinic transition in ZrO 2." Physical Review B 96 (2017).
"Hamiltonians and order parameters for crystals of orientable molecules." Physical Review B 98 (2018).
"Elastic properties and stress-temperature phase diagrams of high-temperature phases with low-temperature lattice instabilities." Physical Review B 90 (2014): 224105.
"Machine learning the density functional theory potential energy surface for the inorganic halide perovskite CsPbBr3." Physical Review B 100 (2019).
"Comparing crystal structures with symmetry and geometry." npj Computational Materials 7 (2021): 164.
"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).
"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).
"A comparison of Redlich-Kister polynomial and cubic spline representations of the chemical potential in phase field computations." Computational Materials Science 128 (2017): 127-139.
"Phase diagram of oxygen adsorbed on platinum (111) by first-principles investigation." Physical Review B 70 (2004): 045420.
"Lateral interactions between oxygen atoms adsorbed on platinum (111) by first principles." Molecular Physics 102 (2004): 273-279.
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