神经形态工程学
可扩展性
数码产品
单层
材料科学
计算机科学
灵活性(工程)
计算机体系结构
纳米技术
人工神经网络
电气工程
人工智能
工程类
数学
数据库
统计
作者
Pukhraj Prajapat,Pargam Vashishtha,Govind Gupta
出处
期刊:Small
[Wiley]
日期:2025-06-26
卷期号:21 (33): e2411596-e2411596
被引量:9
标识
DOI:10.1002/smll.202411596
摘要
Abstract 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 2 ‐based neuromorphic device that can operate at temperatures up to 100 °C. The device is fabricated using monolayer MoS 2 , 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.
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