The projects funded at
Call for Proposals 2024
AI-MAHC
Artificial Intelligence-Driven MOF Materials Discovery for
Autonomous Humidity Control
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CINDERELLA
3D metal printing control using innovative laser sources, digital augmented models and artificial intelligence.
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GREENTEA
High-throughput GeneRation via machinE lEarning of New ThErmoelectric sulfide alloys composed of Abundant elements
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LUMEN
Liquid structure Understanding for Microstructure Engineering with Novel upscaling assisted by artificial intelligence.
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NanoPhiA
Understanding nanoparticle formation in physical synthesis: Using AI to couple characterization, in-situ measurement and simulations.
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REBORN
Optimization and modeling of 2D h-BN epitaxy and its high-quality layered heterostructures using artificial intelligence.
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SIMOICS
Simulation and Instrumentation for Multi-Objective Optimization by Artificial Intelligence – Cold Spray.
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SYNEART
Artificial synapses and neurons based on ferroelectric relaxors: towards lower-power AI.
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AMMETIS
AI-assisted Simulations of Microstructure driven MEchanical properties from high Throughput and multiscale analysIS.
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CATANA-2
Cooperative modeling – experimental learning for the identification of low temperature catalysts for the synthesis and
decomposition of NH3.
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COLLECTIF
Development of current-collecting materials for electrolysis cells using high-throughput and AI methods
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ExplorMat
Accelerated Exploration of a Chemical System for the Discovery of New Materials for Photovoltaics and Solid-state Lighting.
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