DE-centralised Cloud labs fOr inDustrialisation of Energy materials

Informazioni relative al progetto

DECODE

ID dell’accordo di sovvenzione: 101135537

DOI

10.3030/101135537

Data della firma CE 14 Novembre 2023

Data di avvio 1 Dicembre 2023

Data di completamento 30 Novembre 2027

Finanziato da

• Digital, Industry and Space

Costo totale

€ 6 836 306,75

Contributo UE

€ 6 794 831,75

Coordinato da

FORSCHUNGSZENTRUM JULICH GMBH
Germany

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

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.

Pubblicazioni

Peer reviewed articles (4)

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

Autori: Max Dreger, Kourosh Malek, Michael Eikerling
Pubblicato in: Digital Discovery, Numero 4, 2025, ISSN 2635-098X
Editore: Royal Society of Chemistry (RSC)
DOI: 10.1039/D4DD00362D

Theory of Electro-Ionic Perturbations at Supported Electrocatalyst Nanoparticles

Autori: Yufan Zhang, Tobias Binninger, Jun Huang, Michael H. Eikerling
Pubblicato in: Physical Review Letters, Numero 134, 2025, ISSN 0031-9007
Editore: 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

Autori: Ali Malek, Max Dreger, Nima Shaigan, Chaojie Song, Kourosh Malek, Jasna Jankovic, Michael Eikerling
Pubblicato in: Energy and AI, 2025, ISSN 2666-5468
Editore: 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

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