{"title":"基于光学配置单层MoS2的认知计算高温弹性神经形态器件。","authors":"Pukhraj Prajapat, Pargam Vashishtha, Govind Gupta","doi":"10.1002/smll.202411596","DOIUrl":null,"url":null,"abstract":"<p>High-temperature neuromorphic devices are vital for space exploration and operations in harsh environments such as manufacturing units. To fulfil this need, researchers are developing technologies that imitate the human brain in structure and function. This need is further pushed by the growth of the Internet of Things (IoT), demanding massive computing power and processing of data. Herein, we present a scalable monolayer MoS<sub>2</sub>-based neuromorphic device that can operate at temperatures up to 100 °C. The device is fabricated using monolayer MoS<sub>2</sub>, a 2D semiconductor material known for its remarkable properties, such as mechanical flexibility and thermal stability. As a result, the device can operate at high temperatures and may be customized for different purposes. The obtained device is well characterized by excellent electrical properties, including low power consumption, fast switching rate, moderate resistance ratio of ≈102, low switching voltage, and good endurance up to ≈103 cycles. It also shows neuromorphic behavior as it mimics synaptic plasticity exhibited by biological neural networks. This study addresses high-temperature requirements in electronics and lays the groundwork for connecting electronic systems with the environment to mutually adapt to demands.</p>","PeriodicalId":228,"journal":{"name":"Small","volume":"21 33","pages":""},"PeriodicalIF":12.1000,"publicationDate":"2025-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"High-Temperature Resilient Neuromorphic Device Based on Optically Configured Monolayer MoS2 for Cognitive Computing\",\"authors\":\"Pukhraj Prajapat, Pargam Vashishtha, Govind Gupta\",\"doi\":\"10.1002/smll.202411596\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>High-temperature neuromorphic devices are vital for space exploration and operations in harsh environments such as manufacturing units. To fulfil this need, researchers are developing technologies that imitate the human brain in structure and function. This need is further pushed by the growth of the Internet of Things (IoT), demanding massive computing power and processing of data. Herein, we present a scalable monolayer MoS<sub>2</sub>-based neuromorphic device that can operate at temperatures up to 100 °C. The device is fabricated using monolayer MoS<sub>2</sub>, a 2D semiconductor material known for its remarkable properties, such as mechanical flexibility and thermal stability. As a result, the device can operate at high temperatures and may be customized for different purposes. The obtained device is well characterized by excellent electrical properties, including low power consumption, fast switching rate, moderate resistance ratio of ≈102, low switching voltage, and good endurance up to ≈103 cycles. It also shows neuromorphic behavior as it mimics synaptic plasticity exhibited by biological neural networks. This study addresses high-temperature requirements in electronics and lays the groundwork for connecting electronic systems with the environment to mutually adapt to demands.</p>\",\"PeriodicalId\":228,\"journal\":{\"name\":\"Small\",\"volume\":\"21 33\",\"pages\":\"\"},\"PeriodicalIF\":12.1000,\"publicationDate\":\"2025-06-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Small\",\"FirstCategoryId\":\"88\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/smll.202411596\",\"RegionNum\":2,\"RegionCategory\":\"材料科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CHEMISTRY, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Small","FirstCategoryId":"88","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/smll.202411596","RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
High-Temperature Resilient Neuromorphic Device Based on Optically Configured Monolayer MoS2 for Cognitive Computing
High-temperature neuromorphic devices are vital for space exploration and operations in harsh environments such as manufacturing units. To fulfil this need, researchers are developing technologies that imitate the human brain in structure and function. This need is further pushed by the growth of the Internet of Things (IoT), demanding massive computing power and processing of data. Herein, we present a scalable monolayer MoS2-based neuromorphic device that can operate at temperatures up to 100 °C. The device is fabricated using monolayer MoS2, a 2D semiconductor material known for its remarkable properties, such as mechanical flexibility and thermal stability. As a result, the device can operate at high temperatures and may be customized for different purposes. The obtained device is well characterized by excellent electrical properties, including low power consumption, fast switching rate, moderate resistance ratio of ≈102, low switching voltage, and good endurance up to ≈103 cycles. It also shows neuromorphic behavior as it mimics synaptic plasticity exhibited by biological neural networks. This study addresses high-temperature requirements in electronics and lays the groundwork for connecting electronic systems with the environment to mutually adapt to demands.
期刊介绍:
Small serves as an exceptional platform for both experimental and theoretical studies in fundamental and applied interdisciplinary research at the nano- and microscale. The journal offers a compelling mix of peer-reviewed Research Articles, Reviews, Perspectives, and Comments.
With a remarkable 2022 Journal Impact Factor of 13.3 (Journal Citation Reports from Clarivate Analytics, 2023), Small remains among the top multidisciplinary journals, covering a wide range of topics at the interface of materials science, chemistry, physics, engineering, medicine, and biology.
Small's readership includes biochemists, biologists, biomedical scientists, chemists, engineers, information technologists, materials scientists, physicists, and theoreticians alike.