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Chen D, Han Z, Zhang J, Xue L, Liu S. Additive Manufacturing Provides Infinite Possibilities for Self-Sensing Technology. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024:e2400816. [PMID: 38767180 DOI: 10.1002/advs.202400816] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Revised: 04/12/2024] [Indexed: 05/22/2024]
Abstract
Integrating sensors and other functional parts in one device can enable a new generation of integrated intelligent devices that can perform self-sensing and monitoring autonomously. Applications include buildings that detect and repair damage, robots that monitor conditions and perform real-time correction and reconstruction, aircraft capable of real-time perception of the internal and external environment, and medical devices and prosthetics with a realistic sense of touch. Although integrating sensors and other functional parts into self-sensing intelligent devices has become increasingly common, additive manufacturing has only been marginally explored. This review focuses on additive manufacturing integrated design, printing equipment, and printable materials and stuctures. The importance of the material, structure, and function of integrated manufacturing are highlighted. The study summarizes current challenges to be addressed and provides suggestions for future development directions.
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Affiliation(s)
- Daobing Chen
- The Institute of Technological Science, Wuhan University, South Donghu Road 8, Wuhan, 430072, China
| | - Zhiwu Han
- The Key Laboratory of Bionic Engineering (Ministry of Education), Jilin University, Changchun, Jilin, 130022, China
| | - Junqiu Zhang
- The Key Laboratory of Bionic Engineering (Ministry of Education), Jilin University, Changchun, Jilin, 130022, China
| | - Longjian Xue
- School of Power and Mechanical Engineering, Wuhan University, South Donghu Road 8, Wuhan, 430072, China
| | - Sheng Liu
- The Institute of Technological Science, Wuhan University, South Donghu Road 8, Wuhan, 430072, China
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Li N, Jabegu T, He R, Yun S, Ghosh S, Maraba D, Olunloyo O, Ma H, Okmi A, Xiao K, Wang G, Dong P, Lei S. Covalently-Bonded Laminar Assembly of Van der Waals Semiconductors with Polymers: Toward High-Performance Flexible Devices. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2024:e2310175. [PMID: 38402424 DOI: 10.1002/smll.202310175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Revised: 02/02/2024] [Indexed: 02/26/2024]
Abstract
Van der Waals semiconductors (vdWS) offer superior mechanical and electrical properties and are promising for flexible microelectronics when combined with polymer substrates. However, the self-passivated vdWS surfaces and their weak adhesion to polymers tend to cause interfacial sliding and wrinkling, and thus, are still challenging the reliability of vdWS-based flexible devices. Here, an effective covalent vdWS-polymer lamination method with high stretch tolerance and excellent electronic performance is reported. Using molybdenum disulfide (MoS2 )and polydimethylsiloxane (PDMS) as a case study, gold-chalcogen bonding and mercapto silane bridges are leveraged. The resulting composite structures exhibit more uniform and stronger interfacial adhesion. This enhanced coupling also enables the observation of a theoretically predicted tension-induced band structure transition in MoS2 . Moreover, no obvious degradation in the devices' structural and electrical properties is identified after numerous mechanical cycle tests. This high-quality lamination enhances the reliability of vdWS-based flexible microelectronics, accelerating their practical applications in biomedical research and consumer electronics.
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Affiliation(s)
- Ningxin Li
- Department of Physics and Astronomy, Georgia State University, Atlanta, GA, 30303, USA
| | - Tara Jabegu
- Department of Physics and Astronomy, Georgia State University, Atlanta, GA, 30303, USA
| | - Rui He
- Department of Mechanical Engineering, George Mason University, Fairfax, VA, 22030, USA
| | - Seokjoon Yun
- Center for Nanophase Materials Sciences, Oak Ridge National Laboratory, Oak Ridge, TN, 37831, USA
| | - Sujoy Ghosh
- Center for Nanophase Materials Sciences, Oak Ridge National Laboratory, Oak Ridge, TN, 37831, USA
| | - Diren Maraba
- Department of Physics and Astronomy, Georgia State University, Atlanta, GA, 30303, USA
| | - Olugbenga Olunloyo
- Department of Physics and Astronomy, University of Tennessee, Knoxville, Knoxville, TN, 37996, USA
| | - Hedi Ma
- Department of Chemistry, Georgia State University, Atlanta, GA, 30303, USA
| | - Aisha Okmi
- Department of Physics and Astronomy, Georgia State University, Atlanta, GA, 30303, USA
| | - Kai Xiao
- Center for Nanophase Materials Sciences, Oak Ridge National Laboratory, Oak Ridge, TN, 37831, USA
| | - Gangli Wang
- Department of Chemistry, Georgia State University, Atlanta, GA, 30303, USA
| | - Pei Dong
- Department of Mechanical Engineering, George Mason University, Fairfax, VA, 22030, USA
| | - Sidong Lei
- Department of Physics and Astronomy, Georgia State University, Atlanta, GA, 30303, USA
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Zhu S, Xie T, Lv Z, Leng YB, Zhang YQ, Xu R, Qin J, Zhou Y, Roy VAL, Han ST. Hierarchies in Visual Pathway: Functions and Inspired Artificial Vision. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2024; 36:e2301986. [PMID: 37435995 DOI: 10.1002/adma.202301986] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Revised: 06/28/2023] [Accepted: 07/10/2023] [Indexed: 07/13/2023]
Abstract
The development of artificial intelligence has posed a challenge to machine vision based on conventional complementary metal-oxide semiconductor (CMOS) circuits owing to its high latency and inefficient power consumption originating from the data shuffling between memory and computation units. Gaining more insights into the function of every part of the visual pathway for visual perception can bring the capabilities of machine vision in terms of robustness and generality. Hardware acceleration of more energy-efficient and biorealistic artificial vision highly necessitates neuromorphic devices and circuits that are able to mimic the function of each part of the visual pathway. In this paper, we review the structure and function of the entire class of visual neurons from the retina to the primate visual cortex within reach (Chapter 2) are reviewed. Based on the extraction of biological principles, the recent hardware-implemented visual neurons located in different parts of the visual pathway are discussed in detail in Chapters 3 and 4. Furthermore, valuable applications of inspired artificial vision in different scenarios (Chapter 5) are provided. The functional description of the visual pathway and its inspired neuromorphic devices/circuits are expected to provide valuable insights for the design of next-generation artificial visual perception systems.
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Affiliation(s)
- Shirui Zhu
- Institute of Microscale Optoelectronics, Shenzhen University, Shenzhen, 518060, P. R. China
| | - Tao Xie
- Institute of Microscale Optoelectronics, Shenzhen University, Shenzhen, 518060, P. R. China
| | - Ziyu Lv
- College of Electronics and Information Engineering, Shenzhen University, Shenzhen, 518060, P. R. China
| | - Yan-Bing Leng
- Institute of Microscale Optoelectronics, Shenzhen University, Shenzhen, 518060, P. R. China
| | - Yu-Qi Zhang
- Institute of Microscale Optoelectronics, Shenzhen University, Shenzhen, 518060, P. R. China
| | - Runze Xu
- Institute of Microscale Optoelectronics, Shenzhen University, Shenzhen, 518060, P. R. China
| | - Jingrun Qin
- Institute of Microscale Optoelectronics, Shenzhen University, Shenzhen, 518060, P. R. China
| | - Ye Zhou
- Institute for Advanced Study, Shenzhen University, Shenzhen, 518060, P. R. China
| | - Vellaisamy A L Roy
- School of Science and Technology, Hong Kong Metropolitan University, Hong Kong, 999077, P. R. China
| | - Su-Ting Han
- College of Electronics and Information Engineering, Shenzhen University, Shenzhen, 518060, P. R. China
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Yoon HH, Fernandez HA, Nigmatulin F, Cai W, Yang Z, Cui H, Ahmed F, Cui X, Uddin MG, Minot ED, Lipsanen H, Kim K, Hakonen P, Hasan T, Sun Z. Miniaturized spectrometers with a tunable van der Waals junction. Science 2022; 378:296-299. [PMID: 36264793 DOI: 10.1126/science.add8544] [Citation(s) in RCA: 45] [Impact Index Per Article: 22.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Miniaturized computational spectrometers, which can obtain incident spectra using a combination of device spectral responses and reconstruction algorithms, are essential for on-chip and implantable applications. Highly sensitive spectral measurement using a single detector allows the footprints of such spectrometers to be scaled down while achieving spectral resolution approaching that of benchtop systems. We report a high-performance computational spectrometer based on a single van der Waals junction with an electrically tunable transport-mediated spectral response. We achieve high peak wavelength accuracy (∼0.36 nanometers), high spectral resolution (∼3 nanometers), broad operation bandwidth (from ∼405 to 845 nanometers), and proof-of-concept spectral imaging. Our approach provides a route toward ultraminiaturization and offers unprecedented performance in accuracy, resolution, and operation bandwidth for single-detector computational spectrometers.
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Affiliation(s)
- Hoon Hahn Yoon
- Department of Electronics and Nanoengineering, Aalto University, Espoo 02150, Finland.,QTF Centre of Excellence, Department of Applied Physics, Aalto University, Aalto 00076, Finland
| | - Henry A Fernandez
- Department of Electronics and Nanoengineering, Aalto University, Espoo 02150, Finland.,QTF Centre of Excellence, Department of Applied Physics, Aalto University, Aalto 00076, Finland
| | - Fedor Nigmatulin
- Department of Electronics and Nanoengineering, Aalto University, Espoo 02150, Finland.,QTF Centre of Excellence, Department of Applied Physics, Aalto University, Aalto 00076, Finland
| | - Weiwei Cai
- Key Lab of Education Ministry for Power Machinery and Engineering, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Zongyin Yang
- College of Information Science and Electronic Engineering and State Key Laboratory of Modern Optical Instrumentation, Zhejiang University, Hangzhou 310027, China
| | - Hanxiao Cui
- School of Aeronautics and Astronautics, Sichuan University, Chengdu 610065, China
| | - Faisal Ahmed
- Department of Electronics and Nanoengineering, Aalto University, Espoo 02150, Finland
| | - Xiaoqi Cui
- Department of Electronics and Nanoengineering, Aalto University, Espoo 02150, Finland.,QTF Centre of Excellence, Department of Applied Physics, Aalto University, Aalto 00076, Finland
| | - Md Gius Uddin
- Department of Electronics and Nanoengineering, Aalto University, Espoo 02150, Finland.,QTF Centre of Excellence, Department of Applied Physics, Aalto University, Aalto 00076, Finland
| | - Ethan D Minot
- Department of Physics, Oregon State University, Corvallis, OR 97331, USA
| | - Harri Lipsanen
- Department of Electronics and Nanoengineering, Aalto University, Espoo 02150, Finland
| | - Kwanpyo Kim
- Department of Physics, Yonsei University, Seoul 03722, Republic of Korea
| | - Pertti Hakonen
- QTF Centre of Excellence, Department of Applied Physics, Aalto University, Aalto 00076, Finland
| | - Tawfique Hasan
- Cambridge Graphene Centre, University of Cambridge, Cambridge CB3 0FA, UK
| | - Zhipei Sun
- Department of Electronics and Nanoengineering, Aalto University, Espoo 02150, Finland.,QTF Centre of Excellence, Department of Applied Physics, Aalto University, Aalto 00076, Finland
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