Memristors and neuromorphic sensors from vertically aligned layered materials

This project explores the use of memristors in energy-efficient ubiquitous computing and neuromorphic sensor applications in the context of moving towards digitalization and smart society.

Project information

Project duration

-

Funded by

Multiple sources (Spearhead projects of centres for multidisciplinary research)

Project coordinator

University of Oulu

Project description

Project leader: Hannu-Pekka Komsa

Project co-leader: Krisztian Kordas

The emergence of ubiquitous computing entails that advanced information processing capabilities are introduced to the miniaturized, inexpensive, wearable devices and sensors around us. Unfortunately, the power needed for such processing tasks can be excessive for the available power budget, especially in wearable devices. The memristor-based neuromorphic computing paradigm promises to change this. At Microelectronics Research Unit, University of Oulu, we will fabricate memristor devices using layered materials. By combining experimental characterization and computational modeling, we will study the operating mechanism and use this information to further optimize the memristor performance. Finally, in the context of moving towards digitalization and smart society, we will explore the use of memristors in energy-efficient ubiquitous computing and neuromorphic sensor applications.

Strategic research project of the University of Oulu

Focus institute: Infotech Oulu

Faculty: Faculty of Information Technology and Electrical Engineering (ITEE)