Il programma ha l’obiettivo di supportare due FET Flagship europee (progetti strategici sulle tecnologie future ed emergenti), cioè l’iniziativa Graphene e il progetto Human Brain. Il terzo bando FLAG-ERA JTC 2019 riguarda due tematiche, una per ogni flagship e copre un elenco specifico di aree di ricerca.
Le aree di ricerca della call sono le seguenti:
Graphene
- Synthesis and characterization of layered materials beyond graphene
- Graphene and related material for Quantum Technologies
- Optimized GRM-based tunnel barriers for efficient spin injection and detection into graphene under operational conditions
- Spin torque and layered-materials-based memory building block
- Synthesis of monolayers of non-layered compounds
- Bacterial degradation of GRMs
- Osteoinductivity and immune capacity of GRMs
- Soft graphene-based materials for tissue engineering
- GRM-based large-area light emitters and arrays
- Low temperature growth of layered semiconductors for flexible applications
- Nanofluidics based on GRMs
- CVD growth of graphene on insulators
- Sensors based on GRMs and their heterostructures
- Electronic radio-frequency devices and systems based on GRMs
- Infrared photodetectors based on GRMs and their heterostructures
- LIDAR based on GRMs for autonomous vehicles
- Moore’s law continued through GRMs
- GRM-based solar modules
- Graphene-based cathode materials for Li-ion batteries
- Re-usable templates for graphene production
HPB
- Development and maturation of cognitive processes and multisensory integration at micro- and macro-scales
- The role of neurotransmitter systems in human cognition
- Subcortical structures: from cognition to action
- The neuroscience of decision-making
- Studies on biological deep learning and combined declarative and working memory
- Disease modelling and simulation
- Single cell RNA sequencing of human and mouse brain
- Predictive neuroinformatics: a trans-species approach
- Testing neuronal models at multiple scales
- Automated construction and analysis of models of neurons and networks
- Reconstruction of neuronal morphology from microscopic image data
- Neuron data format standardization
Ulteriori informazioni al seguente link.
La pagina MIUR di riferimento al seguente link.
