Bridging Additive Manufacturing and Electronics Printing in the Age of AI

Jihua Chen; Yue Yuan; Qianshu Wang; Hanyu Wang; Rigoberto C. Advincula

doi:10.3390/nano15110843

Bridging Additive Manufacturing and Electronics Printing in the Age of AI

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

Macromolecular Nanomaterials

Research output: Contribution to journal › Review article › peer-review

2 Scopus citations

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.

Original language	English
Article number	843
Journal	Nanomaterials
Volume	15
Issue number	11
DOIs	https://doi.org/10.3390/nano15110843
State	Published - Jun 2025

Funding

This manuscript has been authored by UT-Battelle, LLC, under Contract No. DEAC05-00OR22725 with the U.S. Department of Energy. The United States Government and the publisher, by accepting the article for publication, acknowledge that the United States Government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript or allow others to do so for United States Government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan, 15 May 2025). This work was supported by the Center for Nanophase Materials Sciences (CNMS), which is a US Department of Energy, Office of Science User Facility at Oak Ridge National Laboratory.

Keywords

AI
additive manufacturing
energy storage
machine learning
printing electronics
sensors

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10.3390/nano15110843

Cite this

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title = "Bridging Additive Manufacturing and Electronics Printing in the Age of AI",

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.",

keywords = "AI, additive manufacturing, energy storage, machine learning, printing electronics, sensors",

author = "Jihua Chen and Yue Yuan and Qianshu Wang and Hanyu Wang and Advincula, \{Rigoberto C.\}",

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AU - Chen, Jihua

AU - Yuan, Yue

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AU - Wang, Hanyu

AU - Advincula, Rigoberto C.

PY - 2025/6

Y1 - 2025/6

N2 - 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.

AB - 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.

KW - AI

KW - additive manufacturing

KW - energy storage

KW - machine learning

KW - printing electronics

KW - sensors

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ER -

Bridging Additive Manufacturing and Electronics Printing in the Age of AI

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