Oxide nanostructures: from non-volatile memories to brain-inspired materials

Prof. dr. Beatriz Noheda
Zernike Institute for Advanced Materials
University of Groningen

The field of functional thin films has transformed in the past decade due to the development of methods to synthesize materials with atomic precision, leading to atomically-defined interfaces that enable improved devices and new device concepts. I will focus on the challenges related to the synthesis and characterization of oxide thin films, particularly multiferroic oxides. These are of
great interest in electronics due to their large and tunable electrical, mechanical or magnetic responses, directly linked to their ferroelectric, ferroelastic or magnetic nature. I will discuss the role of epitaxy on the atomic structure (strain engineering) and the properties. Finally, I will offer my vision about future directions in the field of (multi)ferroic oxides that includes emulating synaptic
behavior to create adaptable electronics that could lead to huge power saving with respect to current Si-based computer architectures when performing complex tasks based on pattern recognition, such as data prioritizing or classifying.

Beatriz Noheda is Professor at the University of Groningen and chair of the Nanostructures of Functional Oxides group at the Zernike Institute for Advanced Materials. She is also the founding director of the Groningen Cognitive Systems and Materials Center (CogniGron). Before coming to Groningen in 2004, she worked at the Vrije Universiteit in Amsterdam, Brookhaven National Lab in New York and at the Universidad Autonoma in Madrid, where she also received her PhD in 1996.
Her team develops materials for future electronics, with focus on ferroelectric, piezoelectric, ferromagnetic, multiferroic and memristive oxides. By controlled deposition techniques such as pulsed laser deposition, the aim is to achieve atomic control of the materials in order to create new functionalities at the nanoscale as the basis for novel memory and logic devices, including new hardware for brain-inspired computer architectures. Her papers have been cited over 9600 times.

Prof. dr. Beatriz Noheda

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