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Into the Unknown: How Computation Can Help Explore Uncharted Material Space
[Image: see text] Novel functional materials are urgently needed to help combat the major global challenges facing humanity, such as climate change and resource scarcity. Yet, the traditional experimental materials discovery process is slow and the material space at our disposal is too vast to effec...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9585593/ https://www.ncbi.nlm.nih.gov/pubmed/36206484 http://dx.doi.org/10.1021/jacs.2c06833 |
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author | Mroz, Austin M. Posligua, Victor Tarzia, Andrew Wolpert, Emma H. Jelfs, Kim E. |
author_facet | Mroz, Austin M. Posligua, Victor Tarzia, Andrew Wolpert, Emma H. Jelfs, Kim E. |
author_sort | Mroz, Austin M. |
collection | PubMed |
description | [Image: see text] Novel functional materials are urgently needed to help combat the major global challenges facing humanity, such as climate change and resource scarcity. Yet, the traditional experimental materials discovery process is slow and the material space at our disposal is too vast to effectively explore using intuition-guided experimentation alone. Most experimental materials discovery programs necessarily focus on exploring the local space of known materials, so we are not fully exploiting the enormous potential material space, where more novel materials with unique properties may exist. Computation, facilitated by improvements in open-source software and databases, as well as computer hardware has the potential to significantly accelerate the rational development of materials, but all too often is only used to postrationalize experimental observations. Thus, the true predictive power of computation, where theory leads experimentation, is not fully utilized. Here, we discuss the challenges to successful implementation of computation-driven materials discovery workflows, and then focus on the progress of the field, with a particular emphasis on the challenges to reaching novel materials. |
format | Online Article Text |
id | pubmed-9585593 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-95855932022-10-22 Into the Unknown: How Computation Can Help Explore Uncharted Material Space Mroz, Austin M. Posligua, Victor Tarzia, Andrew Wolpert, Emma H. Jelfs, Kim E. J Am Chem Soc [Image: see text] Novel functional materials are urgently needed to help combat the major global challenges facing humanity, such as climate change and resource scarcity. Yet, the traditional experimental materials discovery process is slow and the material space at our disposal is too vast to effectively explore using intuition-guided experimentation alone. Most experimental materials discovery programs necessarily focus on exploring the local space of known materials, so we are not fully exploiting the enormous potential material space, where more novel materials with unique properties may exist. Computation, facilitated by improvements in open-source software and databases, as well as computer hardware has the potential to significantly accelerate the rational development of materials, but all too often is only used to postrationalize experimental observations. Thus, the true predictive power of computation, where theory leads experimentation, is not fully utilized. Here, we discuss the challenges to successful implementation of computation-driven materials discovery workflows, and then focus on the progress of the field, with a particular emphasis on the challenges to reaching novel materials. American Chemical Society 2022-10-07 2022-10-19 /pmc/articles/PMC9585593/ /pubmed/36206484 http://dx.doi.org/10.1021/jacs.2c06833 Text en © 2022 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Mroz, Austin M. Posligua, Victor Tarzia, Andrew Wolpert, Emma H. Jelfs, Kim E. Into the Unknown: How Computation Can Help Explore Uncharted Material Space |
title | Into the Unknown: How
Computation Can Help Explore
Uncharted Material Space |
title_full | Into the Unknown: How
Computation Can Help Explore
Uncharted Material Space |
title_fullStr | Into the Unknown: How
Computation Can Help Explore
Uncharted Material Space |
title_full_unstemmed | Into the Unknown: How
Computation Can Help Explore
Uncharted Material Space |
title_short | Into the Unknown: How
Computation Can Help Explore
Uncharted Material Space |
title_sort | into the unknown: how
computation can help explore
uncharted material space |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9585593/ https://www.ncbi.nlm.nih.gov/pubmed/36206484 http://dx.doi.org/10.1021/jacs.2c06833 |
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