SOURCE-LINKED INTELLIGENCE

Sustainable Materials-by-Design For Renewable Energy

CORDIS · observation · Publication date unknown

sion makers in Materials Science. An original and sound interdisciplinary training has been set up with expertises in Solid State Chemistry and Physics, Theory, Modelling and Engineering, integrating Artificial Intelligence/ Machine Learning (AI/ML), Life Cycle Assessment (LCA), Criticality Assessment (CA) and Materials Circularity Indicators (MCI).This strategy will allow us to include environmental, economic and even political factors in 3 specific risky research topics from Proof of Concept TRL3 to Technology Development TRL5-6 in: (1) Solar energy management: photovoltaic and Low thermal emissivity, (2) Electrochemical conversion and storage, (3) Nanostructured materials exploiting complementary know-how and synergies. SusMatEner consortium brings together 5 Academic partners, 1 Research & Technology Organization, 7 SMEs, 2 Start-ups and 3 large companies, offering large and sound from 7 countries. Thanks to secondment periods offered by the industry partners, all DCs will also benefit from an international and intersectoral training environment. (i) LCA, (ii) MCI, (iii) Machine

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recordType

award

status

SIGNED

region

EU

value

3975775.2

unit

EUR