{"title":"用于脉冲神经网络机器视觉应用的光活性单层MoS2。抛光工艺。16/2025)","authors":"Thiha Aung, Sindhu Priya Giridhar, Irfan H. Abidi, Taimur Ahmed, Akram AI-Hourani, Sumeet Walia","doi":"10.1002/admt.70222","DOIUrl":null,"url":null,"abstract":"<p><b>Neuromorphic Computing</b></p><p>In article number 2401677, Akram AI-Hourani, Sumeet Walia, and co-workers demonstrate the potential of chemical vapor deposition grown visible-active, atomically thin molybdenum disulfide (MoS<sub>2</sub>) monolayers in replicating the charging and discharging states of LIF neurons through their photoelectrical response. Gate voltage modulation is employed to swiftly reset the neuron, enabling the replication of LIF dynamics and fast system responsiveness. This demonstrates that the potential of photoactive 2D materials for SNNs, representing a step in the development of real-time, energy efficient neuromorphic computing. Art by the team of INMYWORK Studio.\n\n <figure>\n <div><picture>\n <source></source></picture><p></p>\n </div>\n </figure></p>","PeriodicalId":7292,"journal":{"name":"Advanced Materials Technologies","volume":"10 16","pages":""},"PeriodicalIF":6.4000,"publicationDate":"2025-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://advanced.onlinelibrary.wiley.com/doi/epdf/10.1002/admt.70222","citationCount":"0","resultStr":"{\"title\":\"Photoactive Monolayer MoS2 for Spiking Neural Networks Enabled Machine Vision Applications (Adv. Mater. Technol. 16/2025)\",\"authors\":\"Thiha Aung, Sindhu Priya Giridhar, Irfan H. Abidi, Taimur Ahmed, Akram AI-Hourani, Sumeet Walia\",\"doi\":\"10.1002/admt.70222\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><b>Neuromorphic Computing</b></p><p>In article number 2401677, Akram AI-Hourani, Sumeet Walia, and co-workers demonstrate the potential of chemical vapor deposition grown visible-active, atomically thin molybdenum disulfide (MoS<sub>2</sub>) monolayers in replicating the charging and discharging states of LIF neurons through their photoelectrical response. Gate voltage modulation is employed to swiftly reset the neuron, enabling the replication of LIF dynamics and fast system responsiveness. This demonstrates that the potential of photoactive 2D materials for SNNs, representing a step in the development of real-time, energy efficient neuromorphic computing. Art by the team of INMYWORK Studio.\\n\\n <figure>\\n <div><picture>\\n <source></source></picture><p></p>\\n </div>\\n </figure></p>\",\"PeriodicalId\":7292,\"journal\":{\"name\":\"Advanced Materials Technologies\",\"volume\":\"10 16\",\"pages\":\"\"},\"PeriodicalIF\":6.4000,\"publicationDate\":\"2025-08-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://advanced.onlinelibrary.wiley.com/doi/epdf/10.1002/admt.70222\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Advanced Materials Technologies\",\"FirstCategoryId\":\"88\",\"ListUrlMain\":\"https://advanced.onlinelibrary.wiley.com/doi/10.1002/admt.70222\",\"RegionNum\":3,\"RegionCategory\":\"材料科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MATERIALS SCIENCE, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advanced Materials Technologies","FirstCategoryId":"88","ListUrlMain":"https://advanced.onlinelibrary.wiley.com/doi/10.1002/admt.70222","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}
In article number 2401677, Akram AI-Hourani, Sumeet Walia, and co-workers demonstrate the potential of chemical vapor deposition grown visible-active, atomically thin molybdenum disulfide (MoS2) monolayers in replicating the charging and discharging states of LIF neurons through their photoelectrical response. Gate voltage modulation is employed to swiftly reset the neuron, enabling the replication of LIF dynamics and fast system responsiveness. This demonstrates that the potential of photoactive 2D materials for SNNs, representing a step in the development of real-time, energy efficient neuromorphic computing. Art by the team of INMYWORK Studio.
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Advanced Materials Technologies Advanced Materials Technologies is the new home for all technology-related materials applications research, with particular focus on advanced device design, fabrication and integration, as well as new technologies based on novel materials. It bridges the gap between fundamental laboratory research and industry.
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