Author
Listed:
- Minxiang Zeng
(University of Notre Dame
Texas Tech University)
- Yipu Du
(University of Notre Dame)
- Qiang Jiang
(University of Notre Dame)
- Nicholas Kempf
(University of Notre Dame)
- Chen Wei
(University of California Los Angeles)
- Miles V. Bimrose
(University of Notre Dame
University of Illinois Urbana-Champaign)
- A. N. M. Tanvir
(University of Notre Dame)
- Hengrui Xu
(University of Notre Dame)
- Jiahao Chen
(University of Notre Dame)
- Dylan J. Kirsch
(National Institute of Standards and Technology
University of Maryland)
- Joshua Martin
(National Institute of Standards and Technology)
- Brian C. Wyatt
(Indiana University−Purdue University Indianapolis)
- Tatsunori Hayashi
(University of Notre Dame)
- Mortaza Saeidi-Javash
(University of Notre Dame
California State University Long Beach)
- Hirotaka Sakaue
(University of Notre Dame)
- Babak Anasori
(Indiana University−Purdue University Indianapolis)
- Lihua Jin
(University of California Los Angeles)
- Michael D. McMurtrey
(Idaho National Laboratory)
- Yanliang Zhang
(University of Notre Dame)
Abstract
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 spaces1. Whereas traditional combinatorial deposition methods can generate material libraries2,3, 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 phases4–6. 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.
Suggested Citation
Minxiang Zeng & Yipu Du & Qiang Jiang & Nicholas Kempf & Chen Wei & Miles V. Bimrose & A. N. M. Tanvir & Hengrui Xu & Jiahao Chen & Dylan J. Kirsch & Joshua Martin & Brian C. Wyatt & Tatsunori Hayashi, 2023.
"High-throughput printing of combinatorial materials from aerosols,"
Nature, Nature, vol. 617(7960), pages 292-298, May.
Handle:
RePEc:nat:nature:v:617:y:2023:i:7960:d:10.1038_s41586-023-05898-9
DOI: 10.1038/s41586-023-05898-9
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