December 1 - 6, 2024
Boston, Massachusetts
Symposium Supporters
2024 MRS Fall Meeting & Exhibit
EL05.03.08

Organic-Based Devices for Neuromorphic Computing

When and Where

Dec 3, 2024
11:30am - 12:00pm
Sheraton, Second Floor, Independence West

Presenter(s)

Co-Author(s)

Alberto Salleo1

Stanford University1

Abstract

Alberto Salleo1

Stanford University1
Polymer-based artificial synapses have shown outstanding performance in terms of switching speed, switching energy and endurance. The working principle of these devices leverages the dynamics of ion diffusion in polymers. The same dynamics can be used to fabricate organic circuits that mimic spiking neurons that exhibit adaptive behavior. These circuits comprise p- and n-type devices which are fabricated separately on chips and subsequently connected. Furthermore, the same materials set is used to fabricate multi-gate devices that reproduce the features of dendrites, specifically spatial and temporal pulse sequences. Device and circuit design allows to tune the temporal response of organic synapses, neurons and dendrites. Semiconducting polymers are thus attractive to fabricate all components suitable for neuromorphic computing.

Symposium Organizers

Paschalis Gkoupidenis, Max Planck Institute
Francesca Santoro, Forschungszentrum Jülich/RWTH Aachen University
Ioulia Tzouvadaki, Ghent University
Yoeri van de Burgt, Technische Universiteit Eindhoven

Session Chairs

Paschalis Gkoupidenis
Yoeri van de Burgt

In this Session