Programmable Ferroelectric Nanoelectronics for In-memory Computing. The project aims to explore and develop the next-generation ferroelectric memory addressing the energy and speed issues of computers

Description

Programmable Ferroelectric Nanoelectronics for In-memory Computing. The project aims to explore and develop the next-generation ferroelectric memory addressing the energy and speed issues of computers. Modern digital computers are notoriously energy consuming and slow, especially, when performing data-intensive tasks, e.g. identifying images and making decisions. This gap will be bridged by advancing novel ferroelectric quantum memory concepts and prototypes. Expected outcomes include new memory design, material principles and ferroelectric devices capable of not only storing huge amounts of data but also instant fast processing and brain like learning. Project benefits include high performance hardware solutions for Artificial Intelligence and Big data boosting Australian quantum technology and industries.. Scheme: Discovery Projects. Field: 4016 - Materials Engineering. Lead: Dr Pankaj Sharma