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How we work

organisation structure of the Graphene Flagship

How we work

The Graphene Flagship initiative is made up of 13 research and innovation projects and 1 coordination and support project, the Graphene Flagship initiative will continue to advance Europe’s strategic autonomy in technologies that rely on graphene and other 2D materials.

Our 13 Research and Innovation Actions (RIAs) and Innovation Actions (IAs) – in collaboration with activities funded by the EU member states and associated countries – work to integrate graphene and other 2D materials in a variety of areas including:

The overall coherence of the Graphene Flagship initiative is guaranteed by Graphene Europe in the Lead (GrapheneEU) a Coordination and Support Action (CSA) that allows the separate actions to exploit synergies in their scientific and technological activities and work more efficiently by utilising common services and support functions.

Electronics + Photonics

2DNEURALVISION


The 2DNEURALVISION project aims to develop the enabling photonic and electronic integrated circuit components for a novel low-power consumption, any weather, any light computer vision system. These components are a 2DM enhanced wide-spectrum image sensor and optical neural  network with enabling 2DM components.

Next-2DIGITS


Graphene and 2D materials (2DM) have proven superior optoelectronic properties and performance in a plethora of applications with respect to conventional materials. Despite that, specific integration and processing challenges are impeding the industrial uptake of 2DM. In particular, the wafer-scale integration of high-quality and defect free 2DM layers, without disrupting the process-line Si foundries, has not been demonstrated.

GATEPOST


The need for a next-generation computing platform becomes clear from IoT and 5G/6G and their high performance and low power requirements. Now, graphene and 2D materials (2DM) offer the unique ability to enable highly confined nonlinear interactions of light at low powers and at extremely low response times in the femtosecond range. However, it must be integrated with CMOS low-loss silicon nitride (SiN) platform that facilitates the possibility to create circuits for fast, low power, high bandwidth, general purpose computing and memory completely in the optical domain.

wafer

2D Pilot Line

The 2D-Pilot Line (2D-PL) project aims to further strengthen the European ecosystem in the development of integration modules for photonics and electronics prototyping services. It will work to mature semiconductor technologies and provide information to aid industrial uptake. This four-year project builds on the foundation of the 2D-Experimental Pilot Line project (2D-EPL) which first began the work toward integrated 2D materials in the semiconductor industry. The 2D-PL will offer comprehensive prototyping services for the integration of graphene and TMDCs on established semiconductor platforms that use silicon technologies.

Pilot Line

Energy

ARMS


The overall objective of the ARMS project (Atomic layer-coated gRaphene electrode-Based Micro-flexible and Structural supercapacitors (ARMS) is to integrate comprehensive materials and processes, including graphene-rich bio-based carbon materials and graphene-decorated carbon fibers, and to develop scalable and cost-effective atomic layer deposition (ALD) manufacturing technology to fabricate totally eco-friendly supercapacitors with energy density reaching > 50 Wh/kg that is comparable to batteries without sacrificing the power density, cycle life or eco-friendliness, and open up opportunities to establish a new value chain for supercapacitor manufacturing with European SMEs as key players.

GRAPHERGIA


GRAPHERGIA aims is to develop a new science-based, holistic approach, implementing new advances to achieve one-step, laser-assisted synthesis, processing, functionalization and simultaneous integration of graphene-based materials and graphene nanohybrids, directly into relevant energy harvesting/storage devices.

Biomedical

2D-BioPAD


2D-BioPAD is a cost-effective, non-invasive point of care/self-testing tool for the early and accurate prognosis (assistive diagnosis) of Alzheimer's Disease, with special focus on earlier stages such as Subjective or Mild Cognitive Impairment (SCI/MCI).

MUNASET


Proteases recently emerged as a promising new class of biomarkers with a broad diagnostic, prognostic and therapeutic potential for different human diseases including neurological and psychiatric diseases, several types of cancer, and immune system disorders. However, there is a lack of tools for real-time activity analysis of disease-related protease biomarkers.

2D materials of tomorrow

2D-PRINTABLE


2D materials have revolutionised materials science and nanoscience due to their multitude of exceptional physical and chemical properties which enabled ground-breaking applications in optoelectronics, energy, sensing, composites, etc. However, low-cost ways to achieve the superlative properties of individual nanosheets in macroscale samples are crucial to exploiting their full technological potential. 2D-PRINTABLE aims at using sustainable and low-cost liquid exfoliation methods to produce over 40 new 2D materials and to develop printing and liquid-deposition methods to fabricate nanosheet networks and heterostructures with unique properties to enable the production of advanced printed digital devices.

2D ENGINE


2D ENGINE targets new 2D materials phases that do not exist in Nature in bulk but that can be engineered by synthetic techniques in thin film form. The new 2D phases emerge from their 3D polar parent materials with the wurtzite structure and stabilize below a critical thickness (a few ML) as a result of surface energy minimization, adopting a planar non-polar hexagonal (h) BN-like structure.

2DSPIN-TECH


In modern society, as the use of information technology is rapidly increasing, it is necessary to develop new non-volatile, faster, and energy-efficient electronics. Spintronic technologies open promising routes to achieve this. However, devices based on conventional materials are still too inefficient for applications in consumer electronics. Here, we propose to develop a new energy-efficient spintronic memory device platform based on emerging atomically-thin two-dimensional (2D) quantum materials for the next generation of memory technologies.

composites

Composites

GIANCE offers innovative solutions to environmental challenges and establishes a holistic, integrated, and industrial-driven platform for the design, development, and scalable fabrication of the next generation of cost-effective, sustainable, lightweight, recyclable graphene and related materials (GRM)-based multifunctional composites, coatings, foams, and membranes (GRM-bM) with enhanced properties (e.g. thermal, mechanical, chemical), functionalities (e.g. wear, corrosion, chemical and fire resistance, hardness and impact resistance, high temperature resistance, structural health monitoring, ultralow friction surfaces), and as enablers for hydrogen storage.

GIANCE
graphene layers

Safe by design

The SAFARI project aims to develop new 2D materials using sustainable and safe processes. The project focuses on creating hybrid formulations of MXenes and graphene, which are known to possess unique and desirable properties such as thermal stability and electrical conductivity. The goal of the project is to develop sustainable and safe materials that can be used in a wide range of applications such as biosensors, conductive ink, and EMI shielding.

SAFARI
hands collaborating to make the wheels turn

GrapheneEU

The Graphene Flagship initiative aims at advancing Europe’s strategic autonomy in technologies that rely on graphene and other 2D materials and sustaining the first-mover advantage that Europe has obtained through earlier investments. The overall coherence of the Graphene Flagship initiative is guaranteed by a Coordination and Support Action (CSA) that allows the separate actions to exploit synergies in their scientific and technological activities and work more efficiently by utilising common services and support functions.

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