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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society of Chemistry
2020
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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. |
format | Online Article Text |
id | pubmed-8178993 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | The Royal Society of Chemistry |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT szczypinskifilipt canwepredictmaterialsthatcanbesynthesised AT bennettsteven canwepredictmaterialsthatcanbesynthesised AT jelfskime canwepredictmaterialsthatcanbesynthesised |