Research

The Centre’s research programme will generate new knowledge, drastically advancing current understanding across three pillars:

Systematic examination of computational functionality of human neuronal networks.
Identification of the fundamental computational principles/mechanisms in cortical organoids to inform neuromorphic device design.
Laying foundations for hybrid Si-neuromorphic and human-cortical-organoids devices.
Development of advanced physical systems to model human neuronal circuits in vitro.

Machine learning-driven discovery of novel phase-change materials tailored for optical memories.
Development of perovskite-based neuromorphic components for non-linear light synaptic behaviour, advancing photonic NC systems and optoelectronic synapses.
Understanding of the fundamental properties of redox-active and 2D materials, as well as the physical and chemical processes that govern their behaviour, to inform novel neuromorphic computing devices and brain-inspired sensors.
Design of new physics-inspired computing algorithms that harness symmetry-breaking dynamics in driven-dissipative photonic and light-matter coupled systems to perform computations.

Introducing new techniques for the manufacturing of beyond-CMOS nano-electronic devices and systems, lowering the carbon footprint of next-generation electronics.
Development of novel neuromorphic sensing, computing and processing capabilities, combining photonics and spiking neural network architectures, for event-based sensing applications dealing with audio, video, RF, hyperspectral imaging and bio-signals.
Design of systems leveraging high-speed telecom technologies & devices for computing.