| Autor: |
Zelin Cao, Linbiao Xiang, Bai Sun, Kaikai Gao, Jiawei Yu, Guangdong Zhou, Xuegang Duan, Wentao Yan, Fulai Lin, Zhuoqun Li, Ruixin Wang, Yi Lv, Fenggang Ren, Yingmin Yao, Qiang Lu |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
Materials Today Bio, Vol 26, Iss , Pp 101096- (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2590-0064 |
| DOI: |
10.1016/j.mtbio.2024.101096 |
| Popis: |
Conventional implantable electronics based on von Neumann architectures encounter significant limitations in computing and processing vast biological information due to computational bottlenecks. The memristor with integrated memory-computing and low power consumption offer a promising solution to overcome the computational bottleneck and Moore's law limitations of traditional silicon-based implantable devices, making them the most promising candidates for next-generation implantable devices. In this work, a highly stable memristor with an Ag/BaTiO3/MnO2/FTO structure was fabricated, demonstrating retention characteristics exceeding 1200 cycles and endurance above 1000 s. The device successfully exhibited three-stage responses to biological signals after implantation in SD (Sprague-Dawley) rats. Importantly, the memristor perform remarkable reversibility, maintaining over 100 cycles of stable repetition even after extraction from the rat. This study provides a new perspective on the biomedical application of memristors, expanding the potential of implantable memristive devices in intelligent medical fields such as health monitoring and auxiliary diagnostics. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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