ProgramMaster Logo
Conference Tools for MS&T24: Materials Science & Technology
Login
Register as a New User
Help
Submit An Abstract
Propose A Symposium
Presenter/Author Tools
Organizer/Editor Tools
About this Abstract
Meeting MS&T24: Materials Science & Technology
Symposium Understanding High Entropy Materials via Data Science and Computational Approaches
Presentation Title Utilizing Atomistic Calculations for Processing High-Value Magnetic Material Derived from FeNiMoW
Author(s) Sarah E. O'Brien, Matthew Beck
On-Site Speaker (Planned) Sarah E. O'Brien
Abstract Scope Complex Concentrated Alloys (CCAs) have both complex compositions and complex processing-structure-property relationships. Recent studies of near equiatomic FeNiMoW observe the formation of an FCC phase containing equal amounts of Fe and Ni. While some evidence indicates that FCC phase is a random solid solution, DFT-based calculations accounting for enthalpy and entropy suggest that a semi-ordered phase related to tetrataenite—an L1<sub>0</sub> FeNi mineral phase primarily found in meteorites—is more stable than the solid solution phase, even to relative high temperatures. Tetrataenite has been reported to exhibit desirable magnetic properties, potentially rivaling those of rare earth alloys, but it is extremely difficult to fabricate. The results suggest the possibility to optimize a lower-cost synthesis and processing parameters for FeNiMoW alloys to yield high-value magnetic materials. Here we explore the phase stability of FeNiMoW alloys and derivatives, with specific attention to potential processing approaches for fabricating ordered or semi-ordered FeNiMoW.

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

Questions about ProgramMaster? Contact programming@programmaster.org