Disorder as the discovery enabler for transition-metal mixed-anion materials

Abstract

The method we propose for discovering new entropy-stabilized transition-metals mixed-anion materials is technically very complicated", but the fundamental ideas are simple to grasp by following the workows. The statistical analysis of the AFLOW.org repositories has" shown that the rate of change of expected enthalpy per atom as function of number of species decreases with increasing number of sp"ecies. Concurrently, the entropic component of the Gibbs free energy, increases monotonically. Eventually there will be a threshold" which becomes larger than for a working temperature. In an ideal scenario where we obtain a threshold of using AFLOW.org data. This" implies that to look for novel materials containing more than 4 species, one can neglect the formation enthalpy as a first approxim""ation, and focus on searching for solutions having the maximum possible entropy, the maximum possible latent heat for solidification""/quenching, or maximum possible endothermicity in solid state reactions.

Document Details

Document Type
DoD Grant Award
Publication Date
Sep 29, 2017
Source ID
N000141712876

Entities

People

  • Cormac Toher

Organizations

  • Duke University
  • Office of Naval Research
  • United States Navy

Tags

Readers

  • Materials Science and Engineering.
  • Neural Network Machine Learning.
  • Systems Analysis and Design