Project Structure

WP1

2D Ferroelectric Materials Discovery and Development

Lead: University of Chemistry and Technology Prague (UCTP)

This work package lays the groundwork for the project by discovering and developing new two-dimensional ferroelectric materials for neuromorphic devices. It combines computational screening, advanced crystal growth, and nanoscale characterization to identify and study promising compounds. Using AI-assisted modeling, the partners will predict and optimize key material properties, paving the way for clean, tunable 2D ferroelectrics tailored to next-generation all-optical neuromorphic technologies.

WP2

Device Workflow and Integration

Lead: University of Manchester (UNIMAN)

This work package establishes the fabrication workflow for ultra-clean 2D ferroelectric devices. It develops polymer-free transfer and assembly methods to build high-quality heterostructures with precise twist-angle control, integrates them into device architectures, and ensures reproducible performance. The goal is to create reliable, scalable platforms that connect material development in WP1 with the functional optoelectronic and neuromorphic devices explored in later work packages.

WP3

Electrical Control of Optically Active 2D Ferroelectrics

Lead: IPCMS-CNRS

This work package develops functional optoelectronic devices based on 2D ferroelectrics, focusing on the electrical control of excitons and multistate memory for neuromorphic applications. It aims to demonstrate ferroelectric field-effect transistors (FeFETs) and device architectures capable of emulating non-linear activation functions and synaptic plasticity—key steps toward energy-efficient neuromorphic components.

WP4

Optical Control of 2D Neuromorphic Components

Lead: CNRS

This work package pioneers the optical switching of ferroelectric polarization in 2D materials, enabling light-driven control of domain states. It explores optoelectric effects and light-induced synaptic plasticity to mimic learning mechanisms, setting the foundation for reconfigurable, light-responsive neuromorphic circuits.

WP5

All-Optical Operation of Neuronal Activation Functions

Lead: TUM

This work package integrates 2D ferroelectric devices with photonic cavities to realize all-optical activation functions. It develops high-Q photonic structures that achieve strong light–matter coupling with excitons, demonstrating nanowatt-threshold optical neurons and advancing the concept of fully photonic neuromorphic networks.