Hong Wang , Haoning Liu , Ziliang Fang , Yusong Tang , Runyao Lin , Shufang Wang , Xiaobing Yan
{"title":"基于高耐久三模传感忆阻器的实时监测预警神经形态系统","authors":"Hong Wang , Haoning Liu , Ziliang Fang , Yusong Tang , Runyao Lin , Shufang Wang , Xiaobing Yan","doi":"10.1016/j.cej.2025.163914","DOIUrl":null,"url":null,"abstract":"<div><div>SnSe materials has a stable layered structure under strong intralayer forces and weak interlayer forces, easily miniaturized and integrated without interface problems. Its unique optoelectronic properties are combined with a memristor which is as a strongest candidate in neuromorphic electronics, are expected to achieve high efficiency and low consumption. Here, we propose a reconfigurable three-mode sensing memristor (Pd/SnSe<sub>1.05</sub>/Nb:SrTiO<sub>3</sub>) with the coexistence of nonvolatile ramp and threshold switching behaviors. The device exhibits an endurance of 10<sup>8</sup> cycles and a switching energy of 13.80 fJ, with excellent performance attributed to Pd filaments and Sn vacancy defects. In addition, the memristor not only realizes simple Boolean logic (AND, OR, NAND, NOR) and simulate bio-synaptic long-term potentiation/depression, ect., but also has sensitivity to visible light and human body temperature. Combining the above-mentioned electrical, optical, and thermal sensing modes of SnSe<sub>1.05</sub> memristors, a real-time monitoring and early warning neuromorphic system was built to realize the monitoring of body temperature and blood pressure, and can accurately diagnose blood pressure status and high fever warning with an accuracy of up to 97.30 %. That shows a broad application prospect in the field of non-invasive test and more miniaturized and efficient neuromorphic computing.</div></div>","PeriodicalId":270,"journal":{"name":"Chemical Engineering Journal","volume":"516 ","pages":"Article 163914"},"PeriodicalIF":13.2000,"publicationDate":"2025-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Real-time monitoring and early warning neuromorphic system based on high-endurance three-mode sensing memristors\",\"authors\":\"Hong Wang , Haoning Liu , Ziliang Fang , Yusong Tang , Runyao Lin , Shufang Wang , Xiaobing Yan\",\"doi\":\"10.1016/j.cej.2025.163914\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>SnSe materials has a stable layered structure under strong intralayer forces and weak interlayer forces, easily miniaturized and integrated without interface problems. Its unique optoelectronic properties are combined with a memristor which is as a strongest candidate in neuromorphic electronics, are expected to achieve high efficiency and low consumption. Here, we propose a reconfigurable three-mode sensing memristor (Pd/SnSe<sub>1.05</sub>/Nb:SrTiO<sub>3</sub>) with the coexistence of nonvolatile ramp and threshold switching behaviors. The device exhibits an endurance of 10<sup>8</sup> cycles and a switching energy of 13.80 fJ, with excellent performance attributed to Pd filaments and Sn vacancy defects. In addition, the memristor not only realizes simple Boolean logic (AND, OR, NAND, NOR) and simulate bio-synaptic long-term potentiation/depression, ect., but also has sensitivity to visible light and human body temperature. Combining the above-mentioned electrical, optical, and thermal sensing modes of SnSe<sub>1.05</sub> memristors, a real-time monitoring and early warning neuromorphic system was built to realize the monitoring of body temperature and blood pressure, and can accurately diagnose blood pressure status and high fever warning with an accuracy of up to 97.30 %. That shows a broad application prospect in the field of non-invasive test and more miniaturized and efficient neuromorphic computing.</div></div>\",\"PeriodicalId\":270,\"journal\":{\"name\":\"Chemical Engineering Journal\",\"volume\":\"516 \",\"pages\":\"Article 163914\"},\"PeriodicalIF\":13.2000,\"publicationDate\":\"2025-05-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Chemical Engineering Journal\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1385894725047497\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, CHEMICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chemical Engineering Journal","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1385894725047497","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, CHEMICAL","Score":null,"Total":0}
Real-time monitoring and early warning neuromorphic system based on high-endurance three-mode sensing memristors
SnSe materials has a stable layered structure under strong intralayer forces and weak interlayer forces, easily miniaturized and integrated without interface problems. Its unique optoelectronic properties are combined with a memristor which is as a strongest candidate in neuromorphic electronics, are expected to achieve high efficiency and low consumption. Here, we propose a reconfigurable three-mode sensing memristor (Pd/SnSe1.05/Nb:SrTiO3) with the coexistence of nonvolatile ramp and threshold switching behaviors. The device exhibits an endurance of 108 cycles and a switching energy of 13.80 fJ, with excellent performance attributed to Pd filaments and Sn vacancy defects. In addition, the memristor not only realizes simple Boolean logic (AND, OR, NAND, NOR) and simulate bio-synaptic long-term potentiation/depression, ect., but also has sensitivity to visible light and human body temperature. Combining the above-mentioned electrical, optical, and thermal sensing modes of SnSe1.05 memristors, a real-time monitoring and early warning neuromorphic system was built to realize the monitoring of body temperature and blood pressure, and can accurately diagnose blood pressure status and high fever warning with an accuracy of up to 97.30 %. That shows a broad application prospect in the field of non-invasive test and more miniaturized and efficient neuromorphic computing.
期刊介绍:
The Chemical Engineering Journal is an international research journal that invites contributions of original and novel fundamental research. It aims to provide an international platform for presenting original fundamental research, interpretative reviews, and discussions on new developments in chemical engineering. The journal welcomes papers that describe novel theory and its practical application, as well as those that demonstrate the transfer of techniques from other disciplines. It also welcomes reports on carefully conducted experimental work that is soundly interpreted. The main focus of the journal is on original and rigorous research results that have broad significance. The Catalysis section within the Chemical Engineering Journal focuses specifically on Experimental and Theoretical studies in the fields of heterogeneous catalysis, molecular catalysis, and biocatalysis. These studies have industrial impact on various sectors such as chemicals, energy, materials, foods, healthcare, and environmental protection.