Discovery of a Low Thermal Conductivity Oxide Guided by Probe Structure Prediction and Machine Learning-Reference-Cited by-同舟云学术

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

Published:2021-06-17 Issue:30 Volume:60 Page:16457-16465
ISSN:1433-7851
Container-title:Angewandte Chemie International Edition
language:en
Short-container-title:Angew. Chem. Int. Ed.

Author:

Collins Christopher M.¹^ORCID,Daniels Luke M.¹^ORCID,Gibson Quinn¹,Gaultois Michael W.¹²^ORCID,Moran Michael¹²,Feetham Richard¹,Pitcher Michael J.¹,Dyer Matthew S.¹,Delacotte Charlene¹,Zanella Marco¹,Murray Claire A.³,Glodan Gyorgyi⁴,Pérez Olivier⁵,Pelloquin Denis⁵,Manning Troy D.¹,Alaria Jonathan⁶,Darling George R.¹,Claridge John B.¹,Rosseinsky Matthew J.¹^ORCID

Affiliation:

1. Department of Chemistry University of Liverpool Crown Street Liverpool L69 7ZD UK

2. Leverhulme Research Centre for Functional Materials Design The Materials Innovation Factory University of Liverpool 51 Oxford Street Liverpool L7 3NY UK

3. Diamond Light Source Harwell Science and Innovation Campus Oxfordshire OX11 0DE UK

4. University of Manchester Dalton Cumbrian Facility Westlakes Science Park Moor Row CA24 3HA UK

5. Laboratoire CRISMAT ENSICAEN 6 boulevard du Maréchal Juin 14050 Caen Cedex 4 France

6. Department of Physics University of Liverpool Oxford Street Liverpool L69 7ZE UK

Funder

Engineering and Physical Sciences Research Council

Royal Society

Publisher

Wiley

Subject

General Chemistry,Catalysis

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/anie.202102073

Reference60 articles.

1. Frontiers of Materials Research: A Decadal Survey

2. Structure prediction of crystals, surfaces and nanoparticles

3. Computational Screening of All Stoichiometric Inorganic Materials

4. Aperiodic crystals and superspace concepts

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