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Can we predict materials that can be synthesised?

The discovery of materials is an important element in the development of new technologies and abilities that can help humanity tackle many challenges. Materials discovery is frustratingly slow, with the large time and resource cost often providing only small gains in property performance. Furthermor...

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Detalles Bibliográficos
Autores principales: Szczypiński, Filip T., Bennett, Steven, Jelfs, Kim E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society of Chemistry 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8178993/
https://www.ncbi.nlm.nih.gov/pubmed/34163850
http://dx.doi.org/10.1039/d0sc04321d
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author Szczypiński, Filip T.
Bennett, Steven
Jelfs, Kim E.
author_facet Szczypiński, Filip T.
Bennett, Steven
Jelfs, Kim E.
author_sort Szczypiński, Filip T.
collection PubMed
description The discovery of materials is an important element in the development of new technologies and abilities that can help humanity tackle many challenges. Materials discovery is frustratingly slow, with the large time and resource cost often providing only small gains in property performance. Furthermore, researchers are unwilling to take large risks that they will only know the outcome of months or years later. Computation is playing an increasing role in allowing rapid screening of large numbers of materials from vast search space to identify promising candidates for laboratory synthesis and testing. However, there is a problem, in that many materials computationally predicted to have encouraging properties cannot be readily realised in the lab. This minireview looks at how we can tackle the problem of confirming that hypothetical materials are synthetically realisable, through consideration of all the stages of the materials discovery process, from obtaining the components, reacting them to a material in the correct structure, through to processing into a desired form. In an ideal world, a material prediction would come with an associated ‘recipe’ for the successful laboratory preparation of the material. We discuss the opportunity to thus prevent wasted effort in experimental discovery programmes, including those using automation, to accelerate the discovery of novel materials.
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spelling pubmed-81789932021-06-22 Can we predict materials that can be synthesised? Szczypiński, Filip T. Bennett, Steven Jelfs, Kim E. Chem Sci Chemistry The discovery of materials is an important element in the development of new technologies and abilities that can help humanity tackle many challenges. Materials discovery is frustratingly slow, with the large time and resource cost often providing only small gains in property performance. Furthermore, researchers are unwilling to take large risks that they will only know the outcome of months or years later. Computation is playing an increasing role in allowing rapid screening of large numbers of materials from vast search space to identify promising candidates for laboratory synthesis and testing. However, there is a problem, in that many materials computationally predicted to have encouraging properties cannot be readily realised in the lab. This minireview looks at how we can tackle the problem of confirming that hypothetical materials are synthetically realisable, through consideration of all the stages of the materials discovery process, from obtaining the components, reacting them to a material in the correct structure, through to processing into a desired form. In an ideal world, a material prediction would come with an associated ‘recipe’ for the successful laboratory preparation of the material. We discuss the opportunity to thus prevent wasted effort in experimental discovery programmes, including those using automation, to accelerate the discovery of novel materials. The Royal Society of Chemistry 2020-12-09 /pmc/articles/PMC8178993/ /pubmed/34163850 http://dx.doi.org/10.1039/d0sc04321d Text en This journal is © The Royal Society of Chemistry https://creativecommons.org/licenses/by-nc/3.0/
spellingShingle Chemistry
Szczypiński, Filip T.
Bennett, Steven
Jelfs, Kim E.
Can we predict materials that can be synthesised?
title Can we predict materials that can be synthesised?
title_full Can we predict materials that can be synthesised?
title_fullStr Can we predict materials that can be synthesised?
title_full_unstemmed Can we predict materials that can be synthesised?
title_short Can we predict materials that can be synthesised?
title_sort can we predict materials that can be synthesised?
topic Chemistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8178993/
https://www.ncbi.nlm.nih.gov/pubmed/34163850
http://dx.doi.org/10.1039/d0sc04321d
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