High throughput thermal conductivity of high temperature solid phases: The case of oxide and fluoride perovskites
arXiv:1606.03279 · doi:10.1103/PhysRevX.6.041061
Abstract
Using finite-temperature phonon calculations and machine-learning methods, we calculate the mechanical stability of about 400 semiconducting oxides and fluorides with cubic perovskite structures at 0 K, 300 K and 1000 K. We find 92 mechanically stable compounds at high temperatures -- including 36 not mentioned in the literature so far -- for which we calculate the thermal conductivity. We demonstrate that the thermal conductivity is generally smaller in fluorides than in oxides, largely due to a lower ionic charge, and describe simple structural descriptors that are correlated with its magnitude. Furthermore, we show that the thermal conductivities of most cubic perovskites decrease more slowly than the usual behavior. Within this set, we also screen for materials exhibiting negative thermal expansion. Finally, we describe a strategy to accelerate the discovery of mechanically stable compounds at high temperatures.
9 pages, 6 figures
References in corpus (4)
- Entropy driven stabilization of energetically unstable crystal structures explained from first principles theory
- A RESTful API for exchanging Materials Data in the AFLOWLIB.org consortium
- Glass-like thermal conductivity in SrTiO3 thermoelectrics induced by A-site vacancies
- Ferroelectric properties of RbNbO3 and RbTaO3
Cited by in corpus (14)
- First-Principles Lattice Dynamics Method for Strongly Anharmonic Crystals
- Machine Learning on Neutron and X-Ray Scattering
- Thermoelectricity in correlated narrow-gap semiconductors
- Lattice Thermal Conductivity Prediction using Symbolic Regression and Machine Learning
- Materials Informatics for Heat Transfer: Recent Progresses and Perspectives
- Fully Anharmonic, Non-Perturbative Theory of Vibronically Renormalized Electronic Band Structures
- The role of high-order anharmonicity and off-diagonal terms in thermal conductivity: a case study of multi-phase CsPbBr3
- Exploring diamond-like lattice thermal conductivity crystals via feature-based transfer learning
- Developments and applications of the OPTIMADE API for materials discovery, design, and data exchange
- High-throughput study of the static dielectric constant at high temperatures in oxide and fluoride cubic perovskites
- A relaxation time model for efficient and accurate prediction of lattice thermal conductivity
- The Fokker-Planck Equation for Lattice Vibration: Stochastic Dynamics and Thermal Conductivity
- LinReTraCe: The Linear Response Transport Centre
- A neural-network-backed effective harmonic potential study of the ambient pressure phases of hafnia