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Innovative high performance Alloys and Coatings for HIghly EFficient intensive energy processes

Livrables

Mid-term ACHIEF Workshop

this will be part of the training plan targeting the main stakeholders who could be interested in the project (academic and research and technology organisations, industry, standardisation bodies, etc.)

ACHIEF website

It will comprise a public site and a private members’ area as a tool to ease the collaboration between partners and to share information. To be updated every three months.

On-line training material

A version of the training material excluding confidential information will be made available on-line to ensure training is widely available for EU workforce.

Publications

Generative Adversarial Networks for Generation of Synthetic High Entropy Alloys

Auteurs: Precker, Christian Eike Gregores Coto, Andrea Muíños Landín, Santiago
Publié dans: Proceedings of the International Conference on Materials Science and Artificial Intelligence (ICMSAI 2021), Amsterdam, Netherlands, Numéro 2021, 2021
Éditeur: International Scholarly and Scientific Research & Innovation
DOI: 10.5281/zenodo.5582109

Opportunities of Physics-based Multi-Scale Modeling Tools in assessing intra-grain heterogeneities, polycrystal properties and residual stresses of AM metals

Auteurs: Matti Lindroos (Corresponding author), Tatu Pinomaa, Anssi Laukkanen, Atte Antikainen, Juha Lagerbom, Joni Reijonen, Tomi Lindroos, Tom Andersson
Publié dans: World PM2022 Congress Proceedings, Numéro 9 Oct 2022 → 13 Oct 2022, 2022, ISBN 978-1-899072-55-2
Éditeur: European Powder Metallurgy Association (EPMA)

The use of generative models to speed up the discovery of materials

Auteurs: Andrea Gregores Coto, Christian Eike Precker, Tom Andersson, Anssi Laukkanen, Tomi Suhonen, Pilar Rey Rodriguez, Santiago Muíños-Landín
Publié dans: COMPUTER METHODS IN MATERIALS SCIENCE, Numéro 2023, vol. 23, no. 1, 2023, Page(s) 13–26, ISSN 1641-8581
Éditeur: AGH University Press
DOI: 10.7494/cmms.2023.1.0802

Recherche de données OpenAIRE...

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