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High-throughput printing of combinatorial materials from aerosols
The development of new materials and their compositional and microstructural optimization are essential in regard to next-generation technologies such as clean energy and environmental sustainability. However, materials discovery and optimization have been a frustratingly slow process. The Edisonian...
Autores principales: | , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10172128/ https://www.ncbi.nlm.nih.gov/pubmed/37165239 http://dx.doi.org/10.1038/s41586-023-05898-9 |
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author | Zeng, Minxiang Du, Yipu Jiang, Qiang Kempf, Nicholas Wei, Chen Bimrose, Miles V. Tanvir, A. N. M. Xu, Hengrui Chen, Jiahao Kirsch, Dylan J. Martin, Joshua Wyatt, Brian C. Hayashi, Tatsunori Saeidi-Javash, Mortaza Sakaue, Hirotaka Anasori, Babak Jin, Lihua McMurtrey, Michael D. Zhang, Yanliang |
author_facet | Zeng, Minxiang Du, Yipu Jiang, Qiang Kempf, Nicholas Wei, Chen Bimrose, Miles V. Tanvir, A. N. M. Xu, Hengrui Chen, Jiahao Kirsch, Dylan J. Martin, Joshua Wyatt, Brian C. Hayashi, Tatsunori Saeidi-Javash, Mortaza Sakaue, Hirotaka Anasori, Babak Jin, Lihua McMurtrey, Michael D. Zhang, Yanliang |
author_sort | Zeng, Minxiang |
collection | PubMed |
description | The development of new materials and their compositional and microstructural optimization are essential in regard to next-generation technologies such as clean energy and environmental sustainability. However, materials discovery and optimization have been a frustratingly slow process. The Edisonian trial-and-error process is time consuming and resource inefficient, particularly when contrasted with vast materials design spaces(1). Whereas traditional combinatorial deposition methods can generate material libraries(2,3), these suffer from limited material options and inability to leverage major breakthroughs in nanomaterial synthesis. Here we report a high-throughput combinatorial printing method capable of fabricating materials with compositional gradients at microscale spatial resolution. In situ mixing and printing in the aerosol phase allows instantaneous tuning of the mixing ratio of a broad range of materials on the fly, which is an important feature unobtainable in conventional multimaterials printing using feedstocks in liquid–liquid or solid–solid phases(4–6). We demonstrate a variety of high-throughput printing strategies and applications in combinatorial doping, functional grading and chemical reaction, enabling materials exploration of doped chalcogenides and compositionally graded materials with gradient properties. The ability to combine the top-down design freedom of additive manufacturing with bottom-up control over local material compositions promises the development of compositionally complex materials inaccessible via conventional manufacturing approaches. |
format | Online Article Text |
id | pubmed-10172128 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-101721282023-05-12 High-throughput printing of combinatorial materials from aerosols Zeng, Minxiang Du, Yipu Jiang, Qiang Kempf, Nicholas Wei, Chen Bimrose, Miles V. Tanvir, A. N. M. Xu, Hengrui Chen, Jiahao Kirsch, Dylan J. Martin, Joshua Wyatt, Brian C. Hayashi, Tatsunori Saeidi-Javash, Mortaza Sakaue, Hirotaka Anasori, Babak Jin, Lihua McMurtrey, Michael D. Zhang, Yanliang Nature Article The development of new materials and their compositional and microstructural optimization are essential in regard to next-generation technologies such as clean energy and environmental sustainability. However, materials discovery and optimization have been a frustratingly slow process. The Edisonian trial-and-error process is time consuming and resource inefficient, particularly when contrasted with vast materials design spaces(1). Whereas traditional combinatorial deposition methods can generate material libraries(2,3), these suffer from limited material options and inability to leverage major breakthroughs in nanomaterial synthesis. Here we report a high-throughput combinatorial printing method capable of fabricating materials with compositional gradients at microscale spatial resolution. In situ mixing and printing in the aerosol phase allows instantaneous tuning of the mixing ratio of a broad range of materials on the fly, which is an important feature unobtainable in conventional multimaterials printing using feedstocks in liquid–liquid or solid–solid phases(4–6). We demonstrate a variety of high-throughput printing strategies and applications in combinatorial doping, functional grading and chemical reaction, enabling materials exploration of doped chalcogenides and compositionally graded materials with gradient properties. The ability to combine the top-down design freedom of additive manufacturing with bottom-up control over local material compositions promises the development of compositionally complex materials inaccessible via conventional manufacturing approaches. Nature Publishing Group UK 2023-05-10 2023 /pmc/articles/PMC10172128/ /pubmed/37165239 http://dx.doi.org/10.1038/s41586-023-05898-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Zeng, Minxiang Du, Yipu Jiang, Qiang Kempf, Nicholas Wei, Chen Bimrose, Miles V. Tanvir, A. N. M. Xu, Hengrui Chen, Jiahao Kirsch, Dylan J. Martin, Joshua Wyatt, Brian C. Hayashi, Tatsunori Saeidi-Javash, Mortaza Sakaue, Hirotaka Anasori, Babak Jin, Lihua McMurtrey, Michael D. Zhang, Yanliang High-throughput printing of combinatorial materials from aerosols |
title | High-throughput printing of combinatorial materials from aerosols |
title_full | High-throughput printing of combinatorial materials from aerosols |
title_fullStr | High-throughput printing of combinatorial materials from aerosols |
title_full_unstemmed | High-throughput printing of combinatorial materials from aerosols |
title_short | High-throughput printing of combinatorial materials from aerosols |
title_sort | high-throughput printing of combinatorial materials from aerosols |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10172128/ https://www.ncbi.nlm.nih.gov/pubmed/37165239 http://dx.doi.org/10.1038/s41586-023-05898-9 |
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