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cond-mat.mtrl-sci2026

A new Fermi kinetic phase transition model for metals including hysteresis effects

Ann E. Mattsson Wills, Daniel N. Blaschke, Michael B. Prime +3

We present a new phenomenological model for phase transformation (PT) kinetics in metals, the "Fermi Kinetic Phase Transition (KPT) Model". It is designed such that it captures the…

cond-mat.mtrl-sci2025

Phase Transformation Kinetics Model for Metals

Daniel N. Blaschke, Abigail Hunter, Dean L. Preston

We develop a new model for phase transformation kinetics in metals by generalizing the Levitas-Preston (LP) phase field model of martensite phase transformations (see Levitas and P…

cond-mat.mtrl-sci2025

The structure and migration of twin boundaries in tetragonal -Sn: an application of machine learning based interatomic potentials

Ian Chesser, Mashroor Nitol, Esther C. Hessong +7

Although atomistic simulations have contributed significantly to our understanding of twin boundary structure and migration in metals and alloys with hexagonal close packed (HCP) c…

cond-mat.mtrl-sci2024

Exploring the relation between transonic dislocation glide and stacking fault width in FCC metals

Kathryn R. Jones, Khanh Dang, Daniel N. Blaschke +2

Theory predicts limiting gliding velocities that dislocations cannot overcome. Computational and recent experiments have shown that these limiting velocities are soft barriers and…

cond-mat.mtrl-sci2024

Predicting electrical conductivity in bi-metal composites

Daniel N. Blaschke, John S. Carpenter, Abigail Hunter

Generating high magnetic fields requires materials with not only high electric conductivity, but also good strength properties in order to withstand the necessarily strong Lorentz…