19 citations · 29 across the 6 of their papers we have counts for
8 papers
Grain-Size Dependence of Thermal and Electrical Properties in (Cr,Mo,Ta,V,W)C1-δ High-Entropy Carbide Ceramics
Ali Sarikhani, Gregory E. Hilmas, David W. Lipke +4
Thermal and electrical transport in high-entropy carbides can be influenced by grain-boundary scattering, but the relevant microstructural regime remains uncertain. Here, near-full…
The Case Against Hall-Petch Hardening in High Entropy Carbide Ceramics
Ali Sarikhani, Ana C. Feltrin, Gregory E. Hilmas +5
Grain size is often used with the Hall-Petch relationship to justify differences in hardness in ceramic materials. Herein, hardness does not vary systematically with grain-size for…
Grain Growth Kinetics in (Cr,Mo,Ta,V,W)C1-δ High-Entropy Carbide Ceramics
Ali Sarikhani, Gregory E. Hilmas, David W. Lipke +5
Understanding grain-boundary mobility during spark plasma sintering can enable microstructure control in high-entropy carbides, yet quantitative grain-growth kinetics remain scarce…
A Software Package for Generating Robust and Accurate Potentials using the Moment Tensor Potential Framework
Josiah Roberts, Biswas Rijal, Simon Divilov +6
We present the Plan for Robust and Accurate Potentials (PRAPs), a software package for training and using moment tensor potentials (MTPs) in concert with the Machine Learned Intera…
Variable-Temperature Plasmonic High-Entropy Carbides
Simon Divilov, Sean D. Griesemer, Robert C. Koennecker +9
Effective thermal management at variable and extreme temperatures face limitations for the development of novel energy and aerospace applications. Plasmonic approaches, shown to be…
Machine Learned Interatomic Potentials for Ternary Carbides trained on the AFLOW Database
Josiah Roberts, Biswas Rijal, Simon Divilov +6
Large density functional theory (DFT) databases are a treasure trove of energies, forces and stresses that can be used to train machine learned interatomic potentials for atomistic…
A priori procedure to establish spinodal decomposition in alloys
Simon Divilov, Hagen Eckert, Cormac Toher +10
Spinodal decomposition can improve a number of essential properties in materials, especially hardness. Yet, the theoretical prediction of the onset of this phenomenon (e.g., temper…
Interfacial defect properties of high-entropy carbides: Stacking faults, Shockley partial dislocations, and a new Evans-Polanyi-Semenov relation
Samuel E. Daigle, Stefano Curtarolo, William G. Fahrenholtz +4
Using first principles calculations, {111} intrinsic stacking fault (ISF) energies in Group IVB, VB, and VIB high-entropy transition metal carbides are shown to be predictable from…