The integration of data storage and computing capabilities
into
a single physical component has led to the development of a microneuronal
network system with high precision and speed rates. To achieve this
system architecture, bold innovations in the underlying hardware structure
and neural network architecture are required. This article introduces
an optoelectronic storage device based on the MoS2/h-BN/graphene
van der Waals heterojunction transistor. At room temperature, the
transistor exhibits an electron mobility of up to 340 cm2/(V·s) and a large storage window due to its unique van der
Waals heterojunction. The transistor’s reconfigurable nonvolatile
optoelectronic properties enable the construction of logic gates,
including “AND”, “OR”, “NAND”,
and “NOR”. Leveraging these logic gates, a microneural
network system is created that simulates future machine vision applications.
The system achieves a remarkable recognition rate of 96.3% for images
in a multidimensional color space, demonstrating the significant development
potential of the microneural network system based on the MoS2/h-BN/graphene vdW heterojunction transistor in future machine vision.