工艺工程
3D打印
纳米技术
吞吐量
微尺度化学
计算机科学
杠杆(统计)
材料效率
微流控
材料科学
生化工程
工程类
人工智能
电信
生态学
数学教育
数学
生物
无线
复合材料
作者
Minxiang Zeng,Yipu Du,Qiang Jiang,Nicholas Kempf,Wei Chen,Miles V. Bimrose,A N M Tanvir,Hua Xu,Jiahao Chen,Dylan Kirsch,Joshua Martin,Brian C. Wyatt,Tadao Hayashi,Mortaza Saeidi‐Javash,Hirotaka Sakaue,Babak Anasori,Lihua Jin,Michael D McMurtrey,Yanliang Zhang
出处
期刊:Nature
[Springer Nature]
日期:2023-05-10
卷期号:617 (7960): 292-298
被引量:18
标识
DOI:10.1038/s41586-023-05898-9
摘要
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.
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