Memristors based on semiconductor-insulator structures for neuromorphic computing

Project ID: 2531ad1549

(You will need this ID for your application)

Research Theme: Information and Communication Technologies

UCL Lead department: London Centre for Nanotechnology (LCN)

Project Summary:

Brain-inspired, or neuromorphic computing, is an innovative approach to designing computer systems that mimic the structure and function of the human brain. Unlike traditional computing, which relies on binary processing and von Neumann architectures, neuromorphic systems process information like neural networks, using physical neurons and synapses. By emulating the brain’s efficient processing, this technology significantly improves efficiency in complex tasks like pattern recognition, learning, and decision-making, providing a solution to the unstainable energy demand of AI applications.

This PhD project aims to develop new resistive memories (memristors) based on semiconductor-insulator structures obtained by controlled oxidation of 2D layered materials and use them in integrated circuits.

Our recent results (https://lombardo-lab.com/publications) show that such structures are extremely promising building blocks for neuromorphic computing as they combine low energy consumption, fast switching time, environmental stability and multi-state programmability.

Building on such results, this PhD project aims to design, fabricate and test integrated circuits based on 2D layered materials resistive memories and to evaluate their performance for tasks such as image recognition.

The successful candidate will be part of the Nanoelectronic Devices Group (https://lombardo-lab.com/) and closely collaborate with the research group of Dr Ghoreishi (https://profiles.ucl.ac.uk/70077). The candidate will work with other postgraduate students and postdoctoral research associates from the two groups.