Characteristics of synaptic device based on van der Waals heterosturcture

Abstract

The Digital Transformation Era demands Internet of Things(IoT) devices capable of real-time data acquisition, computation, and processing at the sensor to overcome limitations of conventional cloud-based architectures, such as latency, data loss, and security vulnerabilities. To adress these challenges, a neuromorphic in-sensor computing device leveraging a ReS2/h-BN/InSe/h-BN van der Waals heterostructure is presented. A novel light-triggered self-erasure mechanism is demonstrated that effectively erase stored data without the high-power consumption or sustainability issues associated with existing self-erasure technologies by inducing a rapid conductance reduction when exposed to 430 nm wavelength light. This work demonstrates the potential of light-triggered self-erasure synaptic devices to enhance the security, efficiency, and performance of next-generation smart IoT systems.