The Fundamental Study of Two Dimensional Materials with Hetero-Junction and Nano-Structure for Photonics Neuromorphic and Memory Devices

Neuromorphic computing has extensively studied to mimic the brain functions of perception, learning and memory because it is expected to pave a way to overcome the von Neumann bottleneck. Furthermore, human beings stimuli for perception almost come from external sources (ocular, auditory, olfactory, or tactile-perception) which cannot be emulated by only the electrical signal. In this proposed 3-years project, we want to achieve the function of artificial vision based on neuron devices array, and involve the integration of two dimensional materials of Bi2O2Se, MoS2 and graphene to form the hetero-junction for optoelectronic synapse. It contributes to realize the all optical control neuromorphic for a novel artificial visual system without the application of gate controller or any additional electrical input. It provides a whole new and efficient way for developing artificial human vision based on neuromorphic systems.This project will be carried out at 3 years:1st Year/ Synthesis of Bi2O2Se and MoS2 for the investigation of light effectsSection 1: Modulation of the growth parameter of Bi2O2Se and MoS2Section 2: Examination of the photoelectrical properties of the Bi2O2Se and MoS2 with different wavelength Section 3: Investigation of the UV illumination on graphene nanodisks memory for erasing2nd Year/ Evaluation of heterogeneous photosensitive device and photonic memory of nanodisks structureSection 4: Optimization of the material growth and development of the transfer methodSection 5: Fabrication of heterogeneous photosensitive device and photonic memory of nanodisks structureSection 6: Modulation of light spikes for implementation of neuromorphic behavior3rd Year/ Optical control on array for image recognition in artificial visual system Section 7: Fabrication of the array structure based on neuromorphic devices. Section 8: Evolution of the performance in array of neuromorphic devicesSection 9: Realization of the artificial visual system for image recognition.

Project ID:PB10907-4045
External Project ID:MOST109-2221-E182-013-MY3