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Discovery of a Low Thermal Conductivity Oxide Guided by Probe Structure Prediction and Machine Learning.

Authors :
Collins CM
Daniels LM
Gibson Q
Gaultois MW
Moran M
Feetham R
Pitcher MJ
Dyer MS
Delacotte C
Zanella M
Murray CA
Glodan G
Pérez O
Pelloquin D
Manning TD
Alaria J
Darling GR
Claridge JB
Rosseinsky MJ
Source :
Angewandte Chemie (International ed. in English) [Angew Chem Int Ed Engl] 2021 Jul 19; Vol. 60 (30), pp. 16457-16465. Date of Electronic Publication: 2021 Jun 17.
Publication Year :
2021

Abstract

We report the aperiodic titanate Ba <subscript>10</subscript> Y <subscript>6</subscript> Ti <subscript>4</subscript> O <subscript>27</subscript> with a room-temperature thermal conductivity that equals the lowest reported for an oxide. The structure is characterised by discontinuous occupancy modulation of each of the sites and can be considered as a quasicrystal. The resulting localisation of lattice vibrations suppresses phonon transport of heat. This new lead material for low-thermal-conductivity oxides is metastable and located within a quaternary phase field that has been previously explored. Its isolation thus requires a precisely defined synthetic protocol. The necessary narrowing of the search space for experimental investigation was achieved by evaluation of titanate crystal chemistry, prediction of unexplored structural motifs that would favour synthetically accessible new compositions, and assessment of their properties with machine-learning models.<br /> (© 2021 The Authors. Angewandte Chemie International Edition published by Wiley-VCH GmbH.)

Details

Language :
English
ISSN :
1521-3773
Volume :
60
Issue :
30
Database :
MEDLINE
Journal :
Angewandte Chemie (International ed. in English)
Publication Type :
Academic Journal
Accession number :
33951284
Full Text :
https://doi.org/10.1002/anie.202102073