Study, modelling and integration of neuromorphic systems with electrolyte-gated organic transistors

Neuromorphic circuits try to mimic the nervous system to create a more efficient architecture for particular tasks, like pattern recognition. Thanks to the performance shown by Electrolyte-Gated Transistors (EGTs), my main focus in this PhD course is to study and model these devices using state-of-the-art model. With these results, I could project a complex neuromorphic system aided with computer-based simulations, which can then be integrated. One of the properties of EGTs is the ability to interface with biological systems thanks of the electrolyte used as the transistor insulator, meaning that my results could allow me to interface with an actual biological system.


  • Primary: Fabrizio Torricelli
  • Other advisors: Paschalis Gkoupidenis


Short Bio

I have obtained my Electronic MSc degree at the Universit√† degli Studi di Brescia in 2020, with a thesis focused on the modelling and simulation of Electrolyte-Gated Transistors (EGTs) used as biological sensors. I furthered investigated them in the same Research group I’m doing my PhD at thanks to a post-degree research grant the same year and a research grant in 2022.