Covalent organic framework-based photoelectric dual-modulated memristors for wafer surface quality evaluation

Optoelectronic memristors are emerging as crucial components in advancing edge computing technologies. Covalent organic frameworks (COFs), characterized by their stability, regularity, and tunable structures, play a critical role in enhancing the capabilities of these devices. This study presents a COF film, ODAE-COF, comprised of the photoresponsive unit diarylethene and the redox-active unit triphenylamine. The developed ITO/ODAE-COF/ITO optoelectronic memristor exhibits comprehensive light-induced synaptic plasticity under both visible and ultraviolet light, effectively simulating the cognitive processes of learning and forgetting in the human brain. Importantly, the memristor achieves 64 distinct conductance states manipulated by both light and electrical pulses. Integrated into an edge computing system, the memristor evaluates wafer surfaces, detecting voids and classifying roughness with >90% accuracy. These findings highlight the potential of the ODAE-COF-based optoelectronic memristor in advancing integrated edge computing applications.