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https://hdl.handle.net/10356/153146
Title: | Rapid fabrication of complex nanostructures using room-temperature ultrasonic nanoimprinting | Authors: | Ge, Junyu Ding, Bin Hou, Shuai Luo, Manlin Nam, Donguk Duan, Hongwei Gao, Huajian Lam, Yee Cheong Li, Hong |
Keywords: | Engineering::Mechanical engineering::Prototyping | Issue Date: | 2021 | Source: | Ge, J., Ding, B., Hou, S., Luo, M., Nam, D., Duan, H., Gao, H., Lam, Y. C. & Li, H. (2021). Rapid fabrication of complex nanostructures using room-temperature ultrasonic nanoimprinting. Nature Communications, 12, 3146-. https://dx.doi.org/10.1038/s41467-021-23427-y | Project: | RG101/18 (S) M408050000 2018-T1-001-051 |
Journal: | Nature Communications | Abstract: | Despite its advantages of scalable process and cost-effectiveness, nanoimprinting faces challenges with imprinting hard materials (e.g., crystalline metals) at low/room temperatures, and with fabricating complex nanostructures rapidly (e.g., heterojunctions of metal and oxide). Herein, we report a room temperature ultrasonic nanoimprinting technique (named nanojackhammer) to address these challenges. Nanojackhammer capitalizes on the concentration of ultrasonic energy flow at nanoscale to shape bulk materials into nanostructures. Working at room temperature, nanojackhammer allows rapid fabrication of complex multi-compositional nanostructures made of virtually all solid materials regardless of their ductility, hardness, reactivity and melting points. Atomistic simulations reveal a unique alternating dislocation generation and recovery mechanism that significantly reduces the imprinting force under ultrasonic cyclic loading. As a proof-of-concept, a metal-oxide-metal plasmonic nanostructure with built-in nanogap is rapidly fabricated and employed for biosensing. As a fast, scalable, and cost-effective nanotechnology, nanojackhammer will enable various unique applications of complex nanostructures in optoelectronics, biosensing, catalysis and beyond. | URI: | https://hdl.handle.net/10356/153146 | ISSN: | 2041-1723 | DOI: | 10.1038/s41467-021-23427-y | Schools: | School of Mechanical and Aerospace Engineering School of Electrical and Electronic Engineering School of Chemical and Biomedical Engineering |
Organisations: | Institute of High Performance Computing, A*STAR | Research Centres: | CNRS International NTU THALES Research Alliances | Rights: | © 2021 The Author(s). This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/ licenses/by/4.0/. | Fulltext Permission: | open | Fulltext Availability: | With Fulltext |
Appears in Collections: | EEE Journal Articles MAE Journal Articles SCBE Journal Articles |
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