Publications
-  npjCompuMatsConstructing Multicomponent Cluster Expansions with Machine-Learning and Chemical Embeddingnpj Computational Materials Mar 2025
-  Small
-  arXivModeling the Equilibrium Vacancy Concentration in Multi-Principal Element Alloys from First-PrinciplesSep 2025
-  ActaMatFirst-Principles Thermodynamics of Precipitation in Aluminum-Containing Refractory AlloysActa Materialia Aug 2024
-  CommatSciCASM — A Software Package for First-Principles Based Study of Multicomponent Crystalline SolidsComputational Materials Science Jan 2023
-  MRLPartitioning of Ca to Metastable Precipitates in a Mg-rare Earth AlloyMaterials Research Letters Mar 2023
-  ICMLCost-Sensitive Experimental Design for Atomistic ModelingIn ICML 2022 Workshop on Adaptive Experimental Design and Active Learning in the Real World Mar 2022
-  PRMOrder Parameters for Antiferromagnetic Structures: A First-Principles Study of Iridium ManganesePhysical Review Materials Apr 2022
-  ActaMatSix New Transformation Pathways Connecting Simple Crystal Structures and Common Intermetallic Crystal StructuresActa Materialia Dec 2021
-  npjCompuMats
-  PRMDiscovering Hierarchies among Intermetallic Crystal StructuresPhysical Review Materials Nov 2020
-  ActaMatCrystallography, Thermodynamics and Phase Transitions in Refractory Binary AlloysActa Materialia Nov 2020
-  npjCompuMatsLinking Electronic Structure Calculations to Generalized Stacking Fault Energies in Multicomponent Alloysnpj Computational Materials Dec 2020
-  CMAScale Bridging Materials Physics: Active Learning Workflows and Integrable Deep Neural Networks for Free Energy Function Representations in AlloysComputer Methods in Applied Mechanics and Engineering Nov 2020
-  ChemMaterToward an Understanding of Deformation Mechanisms in Metallic Lithium and Sodium from First-PrinciplesChemistry of Materials Oct 2019
-  ActaMatStability and Strain-Driven Evolution of β’ Precipitate in Mg-Y AlloysActa Materialia Mar 2019
-  CMAMachine Learning Materials Physics: Integrable Deep Neural Networks Enable Scale Bridging by Learning Free Energy FunctionsComputer Methods in Applied Mechanics and Engineering Aug 2019
-  PRBMachine Learning the Density Functional Theory Potential Energy Surface for the Inorganic Halide Perovskite CsPbBr 3Physical Review B Oct 2019
-  JOMPRISMS: An Integrated, Open-Source Framework for Accelerating Predictive Structural Materials ScienceJOM Oct 2018
-  PRMCrystallography and Substitution Patterns in the Zr O 2 - YTa O 4 SystemPhysical Review Materials Jul 2018
-  npjCompuMatsMachine-Learning the Configurational Energy of Multicomponent Crystalline Solidsnpj Computational Materials Dec 2018
-  PRLConnecting the Simpler Structures to Topologically Close-Packed PhasesPhysical Review Letters Dec 2018
-  AnnuRevFirst-Principles Statistical Mechanics of Multicomponent CrystalsAnnual Review of Materials Research Jul 2018
-  ActaMatMisfit-Driven B’’’ Precipitate Composition and Morphology in Mg-Nd AlloysActa Materialia Sep 2017
-  ActaMat
-  PRBFirst-Principles Investigation of Phase Stability in the Mg-Sc Binary AlloyPhysical Review B Jun 2017
-  PRBSymmetry-Adapted Order Parameters and Free Energies for Solids Undergoing Order-Disorder Phase TransitionsPhysical Review B Oct 2017
-  CommatSciA Comparison of Redlich-Kister Polynomial and Cubic Spline Representations of the Chemical Potential in Phase Field ComputationsComputational Materials Science Feb 2017
-  PRB
-  ActaMat