Zelin Cao

Memristors Empowering Next‐Generation Human‐Computer Interaction

Jinlong He, Bo Yang, Bai Tao Sun, Qi Chen et autres

ABSTRACT With the continuous advancement of artificial intelligence, human‐computer interaction (HCI) is evolving toward intelligent perception, collaborative decision‐making, and natural integration. However, the physical separation of memory and computing units in traditional von Neumann architecture poses critical bottlenecks in terms of power …

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An objective detection method for tinnitus using memristors

Hui Ma, Xiaoyan Ma, Yingying Xuan, Zelin Cao et autres

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A Sustainable Organic Memristor with Tunable Switching for Logic Operations and Medical Image Encryption

Xiaobin Ren, Z Liu, Bo Sun, S K Wang et autres

ABSTRACT Organic memristors have emerged as promising candidates for neuromorphic computing and secure information processing. However, challenges remain in developing sustainable active materials, establishing experimentally accessible parameter‐performance relationships, and connecting device characteristics to application‐oriented circuit functions. Herein, we report a sustainable bio‐organic …

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A Bioinspired Flexible Memristor‐Based Near‐Sensor Neuromorphic Computing System for Intelligent Monitoring of Wound Infection Severity

Junchao Zhang, Bai Tao Sun, N Zhang, Xiaowen Gao et autres

ABSTRACT Rapid and accurate assessment of postoperative wound infection is critical for timely adjustment of clinical treatment strategies, which requires real‐time tracking of infection progression without interfering with the wound‐healing process. To address this need, we developed a flexible threshold memristor based …

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Brain‐Inspired Computing Based on Large‐Scale Memristor Crossbar Arrays

Kaikai Gao, Bai Sun, Zelin Cao, Mengna Wang et autres

ABSTRACT Inspired by the efficient information processing of the human brain, the construction of biomimetic neural networks for brain‐inspired computing (BIC) has become a research hotspot. Currently, memristors are considered one of the most promising passive electronic components in the post‐Moore era …

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A memristor-based intelligent system for embryonic metabolic monitoring and diagnostic assessment

Mengna Wang, Bai Tao Sun, Guangdong Zhou, Yu Cui et autres

• It has been proposed as a memristor for analyzing embryos of different grades. • It was found that the memristor achieves real-time monitoring of embryos. • The working mechanism of this device is the redistribution of surface charges. • This work …

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An Intelligence Programmable Intrathecal Injection System Based on Tween 80‐Confined Halide Perovskite Optoelectronic Memristor

Kaikai Gao, Zelin Cao, Bai Tao Sun, Longhui Fu et autres

Abstract Lead‐free inorganic perovskites have emerged as promising candidates to replace the lead‐based perovskites and expedite the commercialization of optoelectronic devices, owing to their exceptional optoelectronic properties, tunable bandgap, and long carrier diffusion lengths. However, uncontrollable nucleation and crystal growth of perovskites …

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Memristor-based Neuromorphic Diagnostic Systems: An Emerging Strategy for Intelligent Medicine

Bai Tao Sun, Junchao Zhang, Chuan Fu Yang, Guangdong Zhou et autres

High Resolution Image Download MS PowerPoint Slide Memristor, as a nonlinear resistor with memory function, has shown broad application prospects in the biomedical field in recent years. The memristor have unique advantages, such as resistive switching characteristics, synaptic plasticity, high integration density, …

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Bioinspired artificial vision system based on photoelectric memristors

Shuangsuo Mao, Yong Xiang Zhao, Zelin Cao, Shouhui Zhu et autres

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A Cross‐Scale Memristor‐Based Neuromorphic Platform Bridging Physical Encoding and Medical Inference

Xiaobing Ren, Zhirong Liu, Song Wang, Zelin Cao et autres

Abstract Despite the progress in machine vision, existing image recognition systems still operate in isolation from the physical world, lacking dynamic temporal encoding, in‐memory processing, and intrinsic interpretability. Here, a memristive vision architecture that integrates multimodal sensing, physical memory, and medical inference …

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An Implantable System Design Based on Neuromorphic Memristor for Post-Craniotomy Intracranial Pressure Monitoring

Teng Wu, Kun Wang, Bai Tao Sun, Zelin Cao et autres

Craniotomy, a complex neurosurgical intervention, carries significant risks of postoperative complications including intracerebral hemorrhage (ICH) and cerebral edema, causing elevated intracranial pressure (ICP) and life-threatening cerebral herniation. However, the current ventricular catheter ICP monitoring technologies pose risks of infection and hemorrhage, and …

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Field and delay effects on synchronization in a multilayer memristive neuronal network with a hub

Huaigu Tian, Zhen Wang, Zelin Cao, Bai Tao Sun

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