DE-centralised Cloud labs fOr inDustrialisation of Energy materials

Información del proyecto

DECODE

Identificador del acuerdo de subvención: 101135537

DOI

10.3030/101135537

Fecha de la firma de la CE 14 Noviembre 2023

Fecha de inicio 1 Diciembre 2023

Fecha de finalización 30 Noviembre 2027

Financiado con arreglo a

• Digital, Industry and Space

Coste total

€ 6 836 306,75

Aportación de la UE

€ 6 794 831,75

Coordinado por

FORSCHUNGSZENTRUM JULICH GMBH
Germany

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

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.

Publicaciones

Peer reviewed articles (4)

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

Autores: Max Dreger, Kourosh Malek, Michael Eikerling
Publicado en: Digital Discovery, Edición 4, 2025, ISSN 2635-098X
Editor: Royal Society of Chemistry (RSC)
DOI: 10.1039/D4DD00362D

Theory of Electro-Ionic Perturbations at Supported Electrocatalyst Nanoparticles

Autores: Yufan Zhang, Tobias Binninger, Jun Huang, Michael H. Eikerling
Publicado en: Physical Review Letters, Edición 134, 2025, ISSN 0031-9007
Editor: 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

Autores: Ali Malek, Max Dreger, Nima Shaigan, Chaojie Song, Kourosh Malek, Jasna Jankovic, Michael Eikerling
Publicado en: Energy and AI, 2025, ISSN 2666-5468
Editor: 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

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