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Research data infrastructure for high-throughput experimental materials science
The High-Throughput Experimental Materials Database (HTEM-DB, htem.nrel.gov) is a repository of inorganic thin-film materials data collected during combinatorial experiments at the National Renewable Energy Laboratory (NREL). This data asset is enabled by NREL's Research Data Infrastructure (RD...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8672147/ https://www.ncbi.nlm.nih.gov/pubmed/34950901 http://dx.doi.org/10.1016/j.patter.2021.100373 |
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author | Talley, Kevin R. White, Robert Wunder, Nick Eash, Matthew Schwarting, Marcus Evenson, Dave Perkins, John D. Tumas, William Munch, Kristin Phillips, Caleb Zakutayev, Andriy |
author_facet | Talley, Kevin R. White, Robert Wunder, Nick Eash, Matthew Schwarting, Marcus Evenson, Dave Perkins, John D. Tumas, William Munch, Kristin Phillips, Caleb Zakutayev, Andriy |
author_sort | Talley, Kevin R. |
collection | PubMed |
description | The High-Throughput Experimental Materials Database (HTEM-DB, htem.nrel.gov) is a repository of inorganic thin-film materials data collected during combinatorial experiments at the National Renewable Energy Laboratory (NREL). This data asset is enabled by NREL's Research Data Infrastructure (RDI), a set of custom data tools that collect, process, and store experimental data and metadata. Here, we describe the experimental data flow from the RDI to the HTEM-DB to illustrate the strategies and best practices currently used for materials data at NREL. Integration of the data tools with experimental instruments establishes a data communication pipeline between experimental researchers and data scientists. This work motivates the creation of similar workflows at other institutions to aggregate valuable data and increase their usefulness for future machine learning studies. In turn, such data-driven studies can greatly accelerate the pace of discovery and design in the materials science domain. |
format | Online Article Text |
id | pubmed-8672147 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-86721472021-12-22 Research data infrastructure for high-throughput experimental materials science Talley, Kevin R. White, Robert Wunder, Nick Eash, Matthew Schwarting, Marcus Evenson, Dave Perkins, John D. Tumas, William Munch, Kristin Phillips, Caleb Zakutayev, Andriy Patterns (N Y) Descriptor The High-Throughput Experimental Materials Database (HTEM-DB, htem.nrel.gov) is a repository of inorganic thin-film materials data collected during combinatorial experiments at the National Renewable Energy Laboratory (NREL). This data asset is enabled by NREL's Research Data Infrastructure (RDI), a set of custom data tools that collect, process, and store experimental data and metadata. Here, we describe the experimental data flow from the RDI to the HTEM-DB to illustrate the strategies and best practices currently used for materials data at NREL. Integration of the data tools with experimental instruments establishes a data communication pipeline between experimental researchers and data scientists. This work motivates the creation of similar workflows at other institutions to aggregate valuable data and increase their usefulness for future machine learning studies. In turn, such data-driven studies can greatly accelerate the pace of discovery and design in the materials science domain. Elsevier 2021-11-11 /pmc/articles/PMC8672147/ /pubmed/34950901 http://dx.doi.org/10.1016/j.patter.2021.100373 Text en © 2021 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Descriptor Talley, Kevin R. White, Robert Wunder, Nick Eash, Matthew Schwarting, Marcus Evenson, Dave Perkins, John D. Tumas, William Munch, Kristin Phillips, Caleb Zakutayev, Andriy Research data infrastructure for high-throughput experimental materials science |
title | Research data infrastructure for high-throughput experimental materials science |
title_full | Research data infrastructure for high-throughput experimental materials science |
title_fullStr | Research data infrastructure for high-throughput experimental materials science |
title_full_unstemmed | Research data infrastructure for high-throughput experimental materials science |
title_short | Research data infrastructure for high-throughput experimental materials science |
title_sort | research data infrastructure for high-throughput experimental materials science |
topic | Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8672147/ https://www.ncbi.nlm.nih.gov/pubmed/34950901 http://dx.doi.org/10.1016/j.patter.2021.100373 |
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