Aperto il terzo bando FLAG-ERA

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 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.