Title: Brain-like computing using disordered dopant networks in silicon

Speaker: Peter Bobbert (CCER)
Time: April 30, 2020, 10:00–11:00
Location: Online (MS Teams)

Abstract
A disordered network that is capable of detecting ordered patterns: it sounds contradictory, but it comes close to the way our brain works. I will discuss in this seminar a system of interacting electrons hopping on a disordered dopant networks in silicon that does precisely this. The complex physics and reconfigurability of this system can be exploited to perform various computing tasks like the recognition of basic patterns. The use of a surrogate model of the system based on a deep neural network allows rapid reconfiguration of the network for a desired computing task without the need of any further experimentation. Coupling of these networks in superstructures can lead to a computing technology that has the potential to outcompete conventional CMOS technology regarding energy consumption and footprint.

The CCER seminars are aimed at researchers interested in computational approaches to (energy) research. The seminar is small-scale, typically 15 participants, and interactive, offering lots of room for discussion. If you would like to attend, just This email address is being protected from spambots. You need JavaScript enabled to view it. so as to receive the MS Teams meeting link.