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High-throughput printing of combinatorial materials from aerosols.

Minxiang ZengYipu DuQiang JiangNicholas KempfChen WeiMiles V BimroseA N M TanvirHengrui XuJiahao ChenDylan J KirschJoshua MartinBrian C WyattTatsunori HayashiMortaza Saeidi-JavashHirotaka SakaueBabak AnasoriLihua JinMichael D McMurtreyYanliang Zhang
Published in: Nature (2023)
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.
Keyphrases
  • high throughput
  • small molecule
  • machine learning
  • randomized controlled trial
  • clinical trial
  • study protocol
  • climate change
  • phase ii
  • open label