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人工智能时代的增材制造与电子印刷桥梁

Bridging Additive Manufacturing and Electronics Printing in the Age of AI.

作者信息

Chen Jihua, Yuan Yue, Wang Qianshu, Wang Hanyu, Advincula Rigoberto C

机构信息

Center for Nanophase Materials Sciences, Oak Ridge National Laboratory, Oak Ridge, TN 37830, USA.

ICSPI, 280 Joseph St, Kitchener, ON N2G 4Z5, Canada.

出版信息

Nanomaterials (Basel). 2025 May 31;15(11):843. doi: 10.3390/nano15110843.

Abstract

Printing techniques have been instrumental in developing flexible and stretchable electronics, including organic light-emitting diode displays, organic thin film transistor arrays, electronic skins, organic electrochemical transistors for biosensors and neuromorphic computing, as well as flexible solar cells with low-cost processes such as inkjet printing, ultrasonic nozzle, roll-to-roll coating. The rise of additive manufacturing provides even more opportunities to print electronics in automated and customizable ways. In this work, we will review the current technologies of printing electronics (including printed batteries, supercapacitors, fuel cells, and sensors), especially with 3D printing. In this age of ongoing AI revolution, the application of AI algorithms is discussed in terms of combining them with 3D printing and electronics printing for a future with automated optimization, sustainable design, and customizable and scalable manufacturing.

摘要

印刷技术在开发柔性和可拉伸电子产品方面发挥了重要作用,这些产品包括有机发光二极管显示器、有机薄膜晶体管阵列、电子皮肤、用于生物传感器和神经形态计算的有机电化学晶体管,以及采用喷墨印刷、超声喷嘴、卷对卷涂布等低成本工艺制造的柔性太阳能电池。增材制造的兴起为以自动化和定制化方式印刷电子产品提供了更多机会。在这项工作中,我们将回顾印刷电子学的当前技术(包括印刷电池、超级电容器、燃料电池和传感器),特别是3D印刷技术。在这个人工智能持续变革的时代,将讨论人工智能算法与3D印刷和电子印刷相结合的应用,以实现自动化优化、可持续设计以及可定制和可扩展制造的未来。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b53/12157889/a8498a7b3b9a/nanomaterials-15-00843-g001.jpg

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