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CORDIS - Resultados de investigaciones de la UE
CORDIS

Harmonization of Advanced Materials Ecosystems serving strategic Innovation Markets to pave the way to a Digital Materials & Product Passport

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

Inventory of Materials Data and Information Systems (se abrirá en una nueva ventana)

Inventory of relevant existing collaborative materials data and information systems (platforms, databases and infrastructures) serving strategic innovation markets. The deliverable corresponds to Task 1.1.

Environmental Impacts, Methodology and Management (se abrirá en una nueva ventana)

Repot on environmental data and common methodology for four demonstration areas. The deliverable includes the analysis of the potential negative environmental impacts and describes aspects of their management. - Task 3.4

Materials Modeling, ML & AI-based methods (se abrirá en una nueva ventana)

Report on opportunities for harmonization and standardization of modeling approaches. Common methodologies for data acquisition, documentation and knowledge generation. - Task 3.1

Common language for data documentation and exchange (se abrirá en una nueva ventana)

Report on sharing data/knowledge and exchanging information technique that uses agreed-upon vocabularies, taxonomies, and domain ontologies based on OCES and EMMO. - Task 6.2

Materials Characterization & Fabrication (se abrirá en una nueva ventana)

Recommendations on harmonized procedure for documenting characterization and materials fabrication methods. Common methodologies for data acquisition, documentation and knowledge generation. - Task 3.2

Data catalogue schema (se abrirá en una nueva ventana)

A guideline for data catalogue schema, based on DCAT, that serves as the entry point for searches and demonstrations of techniques for data/knowledge sharing and interoperable exchange. - Task 6.4

Materials Performance Assessment (se abrirá en una nueva ventana)

Report on techniques and protocols for predicting the service life of prepainted metals. Common methodologies for data acquisition, documentation and knowledge generation. -Task 3.3.

Ontology evaluation (se abrirá en una nueva ventana)

Report providing critical analysis and recommendations to European ontology development efforts. The document will include ontology evaluation report and common metadata framework specification: Assessment of the EMMO and OCES ontologies, identifying gaps. - Task 6.1

Data Management Plan (se abrirá en una nueva ventana)

Document provide the information about public data, actions to support data interoperability and standardization, reuse (through clarifying licences) by third parties, data quality, identification of open data/ software tools, estimationcosts for making data FAIR and actions for data security both storage and transfer of sensitive data. - Task 11.3

Publicaciones

Artificial intelligence in materials science and engineering: Current landscape, key challenges, and future trajectories (se abrirá en una nueva ventana)

Autores: Iman Peivaste, Salim Belouettar, Francesco Mercuri, Nicholas Fantuzzi, Hamidreza Dehghani, Razie Izadi, Halliru Ibrahim, Jakub Lengiewicz, Maël Belouettar-Mathis, Kouider Bendine, Ahmed Makradi, Martin Horsch, Peter Klein, Mohamed El Hachemi, Heinz A. Preisig, Yacine Rezgui, Natalia Konchakova, Ali Daouadji
Publicado en: Composite Structures, Edición 372, 2025, ISSN 0263-8223
Editor: Elsevier BV
DOI: 10.1016/J.COMPSTRUCT.2025.119419

Optimisation of a Production Chain for Active Corrosion Protection via Digitalisation (se abrirá en una nueva ventana)

Publicado en: Computer Aided Chemical Engineering, 34th European Symposium on Computer Aided Process Engineering / 15th International Symposium on Process Systems Engineering, 2025
Editor: Elsevier
DOI: 10.1016/B978-0-443-28824-1.50497-X

Scope of Physics-Based Simulation Artefacts (se abrirá en una nueva ventana)

Autores: Martin Thomas Horsch, Fadi Al Machot, Jadran Vrabec
Publicado en: Lecture Notes in Networks and Systems, Designing the Conceptual Landscape for a XAIR Validation Infrastructure, 2025
Editor: Springer
DOI: 10.48550/ARXIV.2412.06077

Ontology-driven automation of process modelling and simulation (se abrirá en una nueva ventana)

Publicado en: Computer Aided Chemical Engineering, 34th European Symposium on Computer Aided Process Engineering / 15th International Symposium on Process Systems Engineering, 2024
Editor: Elsevier
DOI: 10.1016/B978-0-443-28824-1.50189-7

Ontology-driven automation of process modelling and simulation

Autores: Alberto Ridriguez-Fernandez, Vinay K. Gautam, Heinz A. Preisig
Publicado en: Computer Aided Chemical Engineering, Edición 53, 2024
Editor: Elsevier

Optimisation of a Production Chain for Active Corrosion Protection via Digitalisation

Autores: Peter Klein, Heinz A. Preisig, Thomas F. Hagelien, Natalia Konchakova
Publicado en: Computer Aided Chemical Engineering, Edición 53, 2024
Editor: Elsivier

Optimisation of a Production Chain for Active Corrosion Protection via Digitalisation (se abrirá en una nueva ventana)

Publicado en: Computer Aided Chemical Engineering, 34th European Symposium on Computer Aided Process Engineering / 15th International Symposium on Process Systems Engineering, 2025
Editor: Elsevier
DOI: 10.1016/B978-0-443-28824-1.50497-X

Bridging Logic and Learning: A Neural-Symbolic Approach for Enhanced Reasoning in Neural Models (ASPER) (se abrirá en una nueva ventana)

Autores: Fadi Al Machot
Publicado en: Lecture Notes in Networks and Systems, Edición 1375, 2025
Editor: Springer
DOI: 10.48550/ARXIV.2312.11651

Symbolic-AI-Fusion Deep Learning (SAIF-DL): Encoding Knowledge into Training with Answer Set Programming Loss Penalties by a Novel Loss Function Approach (se abrirá en una nueva ventana)

Autores: Fadi Al Machot, Martin Thomas Horsch, Habib Ullah
Publicado en: Lecture Notes in Networks and Systems, Edición 1375, 2025
Editor: Springer
DOI: 10.48550/ARXIV.2411.08463

Building Trustworthy AI: Transparent AI Systems via Language Models, Ontologies, and Logical Reasoning (TranspNet) (se abrirá en una nueva ventana)

Autores: Fadi Al Machot, Martin Thomas Horsch, Habib Ullah
Publicado en: Lecture Notes in Networks and Systems, Designing the Conceptual Landscape for a XAIR Validation Infrastructure, 2025
Editor: Springer Nature Switzerland
DOI: 10.1007/978-3-031-89274-5_3

DPP4EU Conference 2025, Post Conference Summary

Autores: DigiPass-CSA, CIRPASS-2, THESEUS
Publicado en: DPP4EU Conference June 16 – June 18, 2025 Post Conference Summary, 2025
Editor: Zenodo

"KGA ""XAIR principles"" WG - M10 deliverable: Synopsis of core concepts for explainable-AI-ready data and models" (se abrirá en una nueva ventana)

Autores: Horsch, Martin Thomas; Scholze, Sebastian; Al Machot, Fadi
Publicado en: 2024
Editor: "KGA ""XAIR principles"""
DOI: 10.5281/ZENODO.14582689

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