Memristors with Biomaterials for Biorealistic Neuromorphic Applications
Electronic devices with biomaterials have paved a way toward “green electronics” to create a sustainable future. Memristors are drawing growing attention with integrated sensing, memory, and computing for future artificial intelligence applications. Biomaterial is an emerging class of memristive mat...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley-VCH
2022-10-01
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| Series: | Small Science |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/smsc.202200028 |
| _version_ | 1811182100848574464 |
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| author | Jiaqi Xu Xiaoning Zhao Xiaoli Zhao Zhongqiang Wang Qingxin Tang Haiyang Xu Yichun Liu |
| author_facet | Jiaqi Xu Xiaoning Zhao Xiaoli Zhao Zhongqiang Wang Qingxin Tang Haiyang Xu Yichun Liu |
| author_sort | Jiaqi Xu |
| collection | DOAJ |
| description | Electronic devices with biomaterials have paved a way toward “green electronics” to create a sustainable future. Memristors are drawing growing attention with integrated sensing, memory, and computing for future artificial intelligence applications. Biomaterial is an emerging class of memristive materials (the device is called as biomemristor) for transient and/or biodegradable purpose. Importantly, several unique features such as faithful synaptic behaviors, bimodal switching, and biovoltage operations are observed in biomemristors. Moreover, the biomemristors are suitable for human‐related applications due to the inherent biocompatibility of biomaterials and flexibility of the device with ultrathin thickness. These features make the biomemristors promising for biorealistic neuromorphic applications. Herein, the state of the art of biomemristors are comprehensively summarized and systematically discussed with particular attention on their unique biorealistic features. Challenges and prospects toward the further development of biomemristors are also provided and discussed. |
| first_indexed | 2024-04-11T09:26:24Z |
| format | Article |
| id | doaj.art-fba9033182f842f2a6dc2d07440a126b |
| institution | Directory Open Access Journal |
| issn | 2688-4046 |
| language | English |
| last_indexed | 2024-04-11T09:26:24Z |
| publishDate | 2022-10-01 |
| publisher | Wiley-VCH |
| record_format | Article |
| series | Small Science |
| spelling | doaj.art-fba9033182f842f2a6dc2d07440a126b2022-12-22T04:32:01ZengWiley-VCHSmall Science2688-40462022-10-01210n/an/a10.1002/smsc.202200028Memristors with Biomaterials for Biorealistic Neuromorphic ApplicationsJiaqi Xu0Xiaoning Zhao1Xiaoli Zhao2Zhongqiang Wang3Qingxin Tang4Haiyang Xu5Yichun Liu6Key Laboratory of UV Light-Emitting Materials and Technology of Ministry of Education Northeast Normal University Changchun 130024 ChinaKey Laboratory of UV Light-Emitting Materials and Technology of Ministry of Education Northeast Normal University Changchun 130024 ChinaKey Laboratory of UV Light-Emitting Materials and Technology of Ministry of Education Northeast Normal University Changchun 130024 ChinaKey Laboratory of UV Light-Emitting Materials and Technology of Ministry of Education Northeast Normal University Changchun 130024 ChinaKey Laboratory of UV Light-Emitting Materials and Technology of Ministry of Education Northeast Normal University Changchun 130024 ChinaKey Laboratory of UV Light-Emitting Materials and Technology of Ministry of Education Northeast Normal University Changchun 130024 ChinaKey Laboratory of UV Light-Emitting Materials and Technology of Ministry of Education Northeast Normal University Changchun 130024 ChinaElectronic devices with biomaterials have paved a way toward “green electronics” to create a sustainable future. Memristors are drawing growing attention with integrated sensing, memory, and computing for future artificial intelligence applications. Biomaterial is an emerging class of memristive materials (the device is called as biomemristor) for transient and/or biodegradable purpose. Importantly, several unique features such as faithful synaptic behaviors, bimodal switching, and biovoltage operations are observed in biomemristors. Moreover, the biomemristors are suitable for human‐related applications due to the inherent biocompatibility of biomaterials and flexibility of the device with ultrathin thickness. These features make the biomemristors promising for biorealistic neuromorphic applications. Herein, the state of the art of biomemristors are comprehensively summarized and systematically discussed with particular attention on their unique biorealistic features. Challenges and prospects toward the further development of biomemristors are also provided and discussed.https://doi.org/10.1002/smsc.202200028biomaterialsbiorealistic applicationsgreen electronicsmemristorsresistive switching |
| spellingShingle | Jiaqi Xu Xiaoning Zhao Xiaoli Zhao Zhongqiang Wang Qingxin Tang Haiyang Xu Yichun Liu Memristors with Biomaterials for Biorealistic Neuromorphic Applications Small Science biomaterials biorealistic applications green electronics memristors resistive switching |
| title | Memristors with Biomaterials for Biorealistic Neuromorphic Applications |
| title_full | Memristors with Biomaterials for Biorealistic Neuromorphic Applications |
| title_fullStr | Memristors with Biomaterials for Biorealistic Neuromorphic Applications |
| title_full_unstemmed | Memristors with Biomaterials for Biorealistic Neuromorphic Applications |
| title_short | Memristors with Biomaterials for Biorealistic Neuromorphic Applications |
| title_sort | memristors with biomaterials for biorealistic neuromorphic applications |
| topic | biomaterials biorealistic applications green electronics memristors resistive switching |
| url | https://doi.org/10.1002/smsc.202200028 |
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