Results of the DIADEM 2024 call for proposals

This second DIADEM call for proposals aimed to promote the emergence and development of interdisciplinary research projects of a methodological nature designed to address two key themes:

Following the evaluation process by an international jury external to DIADEM, 15 projects were selected for a total amount of €13.5 million.

These projects have introduced new themes to DIADEM: thermoelectricity with the GREENTEA project and spintronics with the MASKY project.

7 projects

have a theme that overlaps with other PEPRs: PEPR SPIN, H2, SPLEEN, TASE, and electronics

6 projects

intègrent des partenaires européens et/ou internationaux

2 projects

intègrent des partenaires industriels

  • AI-MAHC: AI-guided discovery of MOF materials for autonomous humidity control
  • AMMETIS: AI-assisted modeling of microstructure-driven mechanical properties—high-throughput and multiscale analyses
  • CATANA-2: Cooperative modeling-experimental learning for the identification of catalysts for the synthesis and decomposition of NH3 at low temperatures
  • COAST: Intermetallic Catalysts for a Sustainable Future
  • COLLECTIF: Development of current collector materials in high-temperature electrolysis cells using high-throughput methods and artificial intelligence
  • ExplorMat: Accelerated exploration of a chemical system for the discovery of new materials for photovoltaics and low-energy lighting
  • GREENTEA: High-throughput generation through automatic learning of new thermoelectric sulfide alloys composed of abundant elements
  • LUMEN: Understanding the structure of liquids for microstructure engineering with innovative upscaling assisted by artificial intelligence
  • MASKY: Advanced materials for SKYrmion-based spintronics
  • SYNEART: Artificial synapses and neurons based on ferroelectric relaxors: towards lower-power AI
  • CINDERELLA: Control of metallic 3D printing using innovative laser sources, augmented digital models, and artificial intelligence
  • CINEMA: Intelligent growth of new thin layers of improved functional oxides
  • NanoPhiA: Understanding the formation of nanoparticles through physical means: Using AI to combine characterization, in-situ measurement, and simulation
  • REBORN: Optimization and modeling of 2D h-BN epitaxy and its high-quality layered heterostructures using artificial intelligence
  • SIMOICS: Simulation and Instrumentation for Multi-Objective Optimization using Artificial Intelligence – Cold Spray
  • CINDERELLA: Control of metallic 3D printing using innovative laser sources, augmented digital models, and artificial intelligence
  • CINEMA: Intelligent growth of new thin layers of improved functional oxides
  • NanoPhiA: Understanding the formation of nanoparticles through physical means: Using AI to combine characterization, in-situ measurement, and simulation
  • REBORN: Optimization and modeling of 2D h-BN epitaxy and its high-quality layered heterostructures using artificial intelligence
  • SIMOICS: Simulation and Instrumentation for Multi-Objective Optimization using Artificial Intelligence – Cold Spray