Basin-Size Mapping: Prediction of Metastable Polymorph Synthesizability Across TaC-TaN Alloys

Andrew Novick, Quan Nguyen, Matthew Jankousky, M. Brooks Tellekamp, Eric Toberer, Vladan Stevanovic

Research output: Contribution to journalArticlepeer-review

Abstract

The sizes of the basins of attraction on the potential energy surface are helpful indicators in determining the experimental synthesizability of metastable phases. In principle, these basins can be controlled with changes in thermodynamic conditions such as composition, pressure, and surface energy. Herein, we use random structure sampling to computationally study how alloying smoothly perturbs basin of attraction sizes. The TaC1-xNx pseudobinary is an ideal test system given the structural and polymorphic contrast of its parent compounds and their technological relevance as epitaxial substrates for Al1-xGaxN. While we find limited thermodynamic stability across all computationally observed phases, random structure sampling shows a significant composition region where the rocksalt basin dominates. As such, we predict the potential for the nonequilibrium synthesis of metastable rocksalt TaC1-xNx alloys as substrates for Al1-xGaxN. At higher nitrogen concentrations, other low-energy metastable polymorphs emerge that continue to retain the hexagonal close packing suitable for III-N growth. Confidence in these trends was established through uncertainty quantification of the basin sizes and energy distributions; such analysis utilized the Beta and Dirichlet distributions. We also find (a) polymorph basin sizes can be rationalized in terms of energetic preferences for different coordination environments; and (b) basin sizes universally shrink with increasing nitrogen content, making the system more prone to amorphous growth.
Original languageAmerican English
Pages (from-to)4419-4429
Number of pages11
JournalJournal of the American Chemical Society
Volume147
Issue number5
DOIs
StatePublished - 2025

NREL Publication Number

  • NREL/JA-5K00-93545

Keywords

  • chemical structure
  • computer simulations
  • energy
  • mathematical methods
  • potential energy

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