Junmei Du

Southwest Jiaotong University

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Bai Sun

Xi'an Jiaotong University

Zelin Cao

Xi'an Jiaotong University

Chuan Yang

Southwest Jiaotong University

Yong Zhao

Southwest Jiaotong University

Chuan Ke

Southwest Jiaotong University

Shouhui Zhu

Southwest Jiaotong University

Jiangqiu Wang

Southwest Jiaotong University

Guangdong Zhou

Southwest University

Hongyan Wang

Southwest Jiaotong University

Yuanzheng Chen

Fudan University

Cooperative Institutions

Southwest Jiaotong University

Chinese Academy of Sciences

Xi'an Jiaotong University

Southwest University

Fujian Normal University

First Affiliated Hospital of Xi'an Jiaotong University

University of Waterloo

Chengdu University

Ministry of Education of the People's Republic of China

Wenzhou Medical University

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Structure, Infrared Spectra, and Bonding of Ohm(H2o)8 (M = 0, ±1) Clusters . A Comparative Ab Initio Study Combining Particle Swarm Optimization Algorithm

Mei Tang Guilin Liu Junmei Du Zhen-Wei Niu Ni-Na Ge

Particle (ecology)

10.2139/ssrn.4807571

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Evolution between RS and NRS behaviors in BiFeO3@egg albumen nanocomposite based memristor

Current Applied Physics (2023)

Jiajia Qin Bai Sun Yongzan Zhou Junmei Du Zelin Cao

Memristor

Commutation

10.1016/j.cap.2023.12.015

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Citations (2)

Memristor-Based Artificial Chips

ACS Nano (2023)

Bai Sun Yuanzheng Chen Guangdong Zhou Zelin Cao Chuan Yang

Memristors, promising nanoelectronic devices with in-memory resistive switching behavior that is assembled with a physically integrated core processing unit (CPU) and memory unit and even possesses highly possible multistate electrical behavior, could avoid the von Neumann bottleneck of traditional computing devices and show a highly efficient ability of parallel computation and high information storage. These advantages position them as potential candidates for future data-centric computing requirements and add remarkable vigor to the research of next-generation artificial intelligence (AI) systems, particularly those that involve brain-like intelligence applications. This work provides an overview of the evolution of memristor-based devices, from their initial use in creating artificial synapses and neural networks to their application in developing advanced AI systems and brain-like chips. It offers a broad perspective of the key device primitives enabling their special applications from the view of materials, nanostructure, and mechanism models. We highlight these demonstrations of memristor-based nanoelectronic devices that have potential for use in the field of brain-like AI, point out the existing challenges of memristor-based nanodevices toward brain-like chips, and propose the guiding principle and promising outlook for future device promotion and system optimization in the biomedical AI field.

Memristor

Neuromorphic engineering

10.1021/acsnano.3c07384

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Citations (41)

Ferroelectric memristor and its neuromorphic computing applications

Materials Today Physics (2024)

Junmei Du Bai Sun Chuan Yang Zelin Cao Guangdong Zhou

Neuromorphic engineering

Memristor

10.1016/j.mtphys.2024.101607

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Citations (2)

NDR effect and negative-set/reset phenomenon in core-shell structure-based memristor under the effect of humidity

Materials Science and Engineering B (2023)

Haotian Liang Chuan Ke Bai Sun Shouhui Zhu Zelin Cao

Reset (finance)

Ohmic contact

Memristor

10.1016/j.mseb.2023.117059

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Logic Gate Circuits Based on CeO_x/WO_y Memristor for the Odd/Even Checker and Encryption/Decryption of Image Applications

Advanced Functional Materials (2024)

Jiangqiu Wang Hongyan Wang Zelin Cao Shouhui Zhu Junmei Du

Abstract Due to its powerful brain‐like parallel computing and efficient data processing capabilities, memristors are considered to be the core components for building the next generation of artificial intelligence systems. In this study, the CeO x /WO y heterojunction is employed as the functional layer, and various metal materials are utilized as the top electrode to fabricate the memristor. The results indicate that the memristive performance of the Ag/CeO x /WO y /ITO device can be improved by using Ag as the top electrode. By studying the conductivity mechanism of the device, a conductivity model is established that regulates oxygen vacancies and Ag conductive filaments. Furthermore, using the as‐prepared memristor, it is constructed four basic digital logic circuits: OR, AND, XOR, and XNOR, as well as a half adder and a full adder that can be used for digital arithmetic operations. Specifically, an odd/even checker is developed based on XOR and XNOR logic circuits to verify the correctness of data transmission. Finally, it is also designed and implemented a cryptographic array based on a memristor, which can be applied to encrypt and decrypt a series of numbers and images. Therefore, this work extends the application of memristor toward digital circuits, information transmission, data processing and image security encryption.

XNOR gate

Memristor

10.1002/adfm.202313219

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Citations (8)

Memristor based electronic devices towards biomedical applications

Journal of Materials Chemistry C (2023)

Jie Zhang Junmei Du Chuan Yang Haotian Liang Zelin Cao

This paper systematically reviewed the preparation technologies, research progress, and typical applications of memristors in biomedical fields.

Memristor

10.1039/d3tc03034b

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Citations (13)