Understanding the working principles of artificial synaptic devices is crucial for neuromorphic computing and the hardware of artificial neural networks. As an emerging class of synaptic devices, organic electrochemical transistors (OECTs) have attracted significant interest due to ultra-low voltage operation, analog conductance tuning, flexibility, and biocompatibility. However, little work has been focused on the first-principle modeling of OECTs’ synaptic behaviors. The simulation study on OECTs synaptic behavior is of great importance to understanding OECT working principles as neuromorphic devices and optimizing ultra-low power consumption neuromorphic computing devices. We developed a 2D transient drift-diffusion model based on phase separation in PEDOT:PSS and qualitatively reproduced OECTs' typical transistor characteristics. More importantly, typical synaptic phenomena, such as excitatory/inhibitory postsynaptic current (EPSC/IPSC), paired-pulse facilitation/depression (PPF/PPD), short-term plasticity (STP) are demonstrated. This work is crucial in guiding experimental exploration on neuromorphic computing devices and has the potential to serve as a platform for future OECT device simulation for a wide range of semiconductor materials.

Transient modeling of PEDOT:PSS based organic electrochemical transistors

ACS Spring Meeting 2021

The official archive and repository for all ACS Meetings & Expositions abstracts and select posters or presentations.