DE-centralised Cloud labs fOr inDustrialisation of Energy materials

Informations projet

DECODE

N° de convention de subvention: 101135537

DOI

10.3030/101135537

Date de signature de la CE 14 Novembre 2023

Date de début 1 Decembre 2023

Date de fin 30 Novembre 2027

Financé au titre de

• Digital, Industry and Space

Coût total

€ 6 836 306,75

Contribution de l’UE

€ 6 794 831,75

Coordonné par

FORSCHUNGSZENTRUM JULICH GMBH
Germany

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

Documents, reports (4)

Interim report for D1.1 (M18)

Report listing the new knowledge, the models/tools/methods used, and their adaptation (ex. enhanced tools) based on feedback from T1.2, T1.3 and T1.4 + describing an enhanced set of activity-durability descriptors (PR1)

Interim report for D1.1 (M12)

Report listing the new knowledge, the models/tools/methods used, and their adaptation (ex. enhanced tools) based on feedback from T1.2, T1.3 and T1.4 + describing an enhanced set of activity-durability descriptors (PR1)

Plan for the dissemination and exploitation including communication activities

Plan to reach the targeted audiences and ensure the wide dissemination and exploitation of the PRs.

Interim report for D6.2 (M18)

Exhaustive list of all communication and dissemination activities.

Data Management Plan (1)

Data management Plan

Plan to structure how the data/ research outputs will be managed in line with the FAIR principles (Findable, Accessible, Interoperable, Reusable). This DMP will evolve during the lifetime of the project.

Publications

Peer reviewed articles (4)

Large language models for knowledge graph extraction from tables in materials science

Auteurs: Max Dreger, Kourosh Malek, Michael Eikerling
Publié dans: Digital Discovery, Numéro 4, 2025, ISSN 2635-098X
Éditeur: Royal Society of Chemistry (RSC)
DOI: 10.1039/D4DD00362D

Theory of Electro-Ionic Perturbations at Supported Electrocatalyst Nanoparticles

Auteurs: Yufan Zhang, Tobias Binninger, Jun Huang, Michael H. Eikerling
Publié dans: Physical Review Letters, Numéro 134, 2025, ISSN 0031-9007
Éditeur: American Physical Society (APS)
DOI: 10.1103/PHYSREVLETT.134.066201

Data-Driven Modeling of Polymer Electrolyte Fuel Cells: Towards Predictive Analytics with Explainable Artificial Intelligence

Auteurs: Ali Malek, Max Dreger, Nima Shaigan, Chaojie Song, Kourosh Malek, Jasna Jankovic, Michael Eikerling
Publié dans: Energy and AI, 2025, ISSN 2666-5468
Éditeur: Elsevier BV
DOI: 10.1016/J.EGYAI.2025.100577

UTILE-Pore: Deep Learning-Enabled 3D Analysis of Porous Materials in Polymer Electrolyte Membrane-Based Energy Devices

Auteurs: André Colliard-Granero, Salvatore Ranieri, Aimy Bazylak, Tobias Morawietz, K. Andreas Friedrich, Jasna Jankovic, Kourosh Malek, Michael Eikerling, Mohammad Javad Eslamibidgoli
Publié dans: Journal of The Electrochemical Society, 2025, ISSN 0013-4651
Éditeur: The Electrochemical Society
DOI: 10.1149/1945-7111/ADF262