Synaptic Characteristics of Thin Film Transistor with Organic-Inorganic Hybrid Materials

Abstract

With the rapid increasing demands on data, neuromorphic computing, a system emulating the human nervous system, has garnered a great attention as an alternative to the von-Neumann architecture due to its low power consumption and parallel data processing. To realize this neuromorphic computing, research on the artificial electronic synapse and neuron device including architecture has been investigated using various materials and devices. Implementation of neuromorphic computing systems with light-stimulated synaptic function may enhance computational speed by proving devices with high bandwidth, low power consumption, and low crosstalk. Organic-inorganic hybrid halide perovskites (OIHPs) are promising materials for high-performance photodetectors due to its broad optical absorption, low exciton binding energy, charge transport properties and bandgap tunable. However, these OIHPs are made up of lead (Pb2+) cations, which limits the wide application of the materials because of its toxicity.

In this study, we investigated light-stimulated synaptic behaviors of the photo transistor where the Thin film transistor (TFT) structure with OIHPs synthesized Mn2+-substituted lead perovskite displacing ~90% of lead, as MAPb0.1Mn0.9Br0.2Cl2. Our photo transistor with OIHPs successfully emulated the essential synaptic characteristics including excitatory post-synaptic current (EPSC), pulse-paired facilitation (PPF), post-tetanic potentiation (PTP), STP to LTP transition and Ebbinghaus forgetting curve of the human brain with light pulse.