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Meeting MS&T24: Materials Science & Technology
Symposium Understanding High Entropy Materials via Data Science and Computational Approaches
Presentation Title Factors Affecting Calculated Properties of RHEAs Using Density Functional Theory
Author(s) Christopher Lafferty, Danielsen Moreno, Gabriel Beltran, Peter Liaw, Chelsey Z. Hargather
On-Site Speaker (Planned) Chelsey Z. Hargather
Abstract Scope The calculation of properties of high-entropy alloys (HEAs) presents many challenges when using first-principles calculations based on density functional theory (DFT). While special quasirandom structures (SQS) are a solution for representing single phase solid solutions, questions remain as to the number of atomic configurations required to properly represent the structure. Furthermore, DFT+SQS calculations are expensive and scale exponentially with supercell size, the presence of defects, and magnetic considerations. Using Vienna ab-initio Simulation Package, an overview of the effects of various calculation parameters on resulting properties of single-phase HEAs are explored. For example, the effect of the exchange-correlation function and supercell size on diffusion parameters in CoCrNi are discussed. The effect of supercell shape and atomic configuration permutations on elastic properties of six refractory HEAs are explored. Finally, a large dataset of the variation in the vacancy formation energy due to atomic configuration permutations in CrTaVW is investigated.

OTHER PAPERS PLANNED FOR THIS SYMPOSIUM

A First Principles High Throughput Screening Method for Corrosion Resistant High Entropy Materials
Analyzing, Understanding, and Guided Design of Solid Disordering by the Density of Atomistic States (DOAS)
Characterization of Thermal Sprayed Ultrahard Coatings for Stamping Die Surfaces from Refractory High Entropy Alloys Designed Using DFT Calculations
Contributions to Diffusion in Complex Materials Quantified with Machine Learning
Design Metastability in High-Entropy Alloys by Tailoring Unstable Fault Energies
Electronic-Structure-Guided Tailoring of Refractory High-Entropy Alloys for Extreme Environment
Electronic Descriptors for Dislocation Deformation Behavior and Intrinsic Ductility in bcc High-Entropy Alloys
Entropy for Energy: High-Entropy Materials for Energy Applications
Factors Affecting Calculated Properties of RHEAs Using Density Functional Theory
Grain Boundary Segregation-Driven Elemental Patterning Amplifies Chemical Short-Range Order in NiCoCr
Lattice Correspondence Analyses of Phase Transformations in a High Entropy Alloy
Machine Learning Design of Additively Manufacturable Tungsten-Based Refractory Multi Principle Element Alloys with Enhanced Strength at Extreme Temperatures
Modeling Distribution of Unstable Stacking Fault Energy in bcc Refractory High-Entropy Alloys and its Implication to Ductility Assessment
Predicting Intrinsic Ductility of Refractory High Entropy Alloys
Predictive Screening of Phase Stability in High-Entropy Borides
Screening High-Entropy Oxide Compositions Using Machine Learned Interatomic Potential
Spinel-Structured Precipitate Morphology in High-Entropy Mg0.2Ni0.2Co0.2Cu0.2Zn0.2O Epitaxial Films: Thermodynamic and Phase-Field Investigations
ULTERA: A Data Ecosystem for High Entropy Materials (HEMs)
Using Materials Informatics to Quantify Complex Correlations Linking Structure, Properties and Processing in High-Entropy Alloys
Utilizing Atomistic Calculations for Processing High-Value Magnetic Material Derived from FeNiMoW

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