High‐Performing Nanofiber Memristor via Field‐Induced Ion Migration Concentration at Highly‐Curved Interwoven Interface
Source abstract
Abstract
Abstract Memristors with high computing capabilities hold significant potential as processing devices in the era of information explosion, but their applications are largely hindered by the trade‐off between memristive performance and operation uniformity. Extensive efforts are devoted to designing or regulating memristive layers of memristors to improve device performance, while few studies focused on the interface structure at cross points of memristors. Herein, inspired by the tip effect, a nanofiber memristor with highly‐curved interwoven interface is designed by assembling nanofiber electrodes using dielectrophoretic method. The nanofiber memristor shows high operation uniformity with an ultralow set voltage standard deviation of 0.014 V, which is even superior to that of state‐of‐the‐art oxide‐based planar memristors. Experimental and simulation analysis reveals that the highly‐curved interface can efficiently concentrate electric field distribution and confine the switching region, thus facilitating the migration of silver ions and suppressing the formation of random conductive filaments. Nanofiber memristor arrays with good device reproducibility are further integrated for fundamental logic gate circuits like NOT, AND, and OR. This work offers a new insight for constructing high‐performing nanoelectronics.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Advanced Memory and Neural Computing · Ferroelectric and Negative Capacitance Devices · Neuroscience and Neural Engineering
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
State Key Laboratory of Molecular Engineering of Polymers Department of Macromolecular Science Institute of Fiber Materials and Devices Laboratory of Advanced Materials Fudan University Shanghai 200438 China
State Key Laboratory of ASIC and System School of Microelectronics Fudan University Shanghai 200433 China
Shanghai Academy of Artificial Intelligence for Science Shanghai 200240 China
Funding
National Natural Science Foundation of China · Ministry of Science and Technology of the People's Republic of China
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