Reviews on Machine Learning Approaches for Process Optimization in Noncontact Direct Ink Writing
Author:
Affiliation:
1. Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming 650500, China
2. School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore 639798, Singapore
Funder
Korea Institute of Materials Science
Singapore Centre for 3D printing, Nanyang Technological University
Publisher
American Chemical Society (ACS)
Subject
General Materials Science
Link
https://pubs.acs.org/doi/pdf/10.1021/acsami.1c04544
Reference233 articles.
1. 3D Printing multifunctionality: structures with electronics
2. 3D printing of soft robotic systems
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5. A review of fabrication and applications of carbon nanotube film-based flexible electronics
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