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CORDIS - Resultados de investigaciones de la UE
CORDIS

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

Resultado final

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 online to ensure training is widely available for EU workforce

Publicaciones

Generative Adversarial Networks for Generation of Synthetic High Entropy Alloys

Autores: Precker, Christian Eike Gregores Coto, Andrea Muíños Landín, Santiago
Publicado en: Proceedings of the International Conference on Materials Science and Artificial Intelligence (ICMSAI 2021), Amsterdam, Netherlands, Edición 2021, 2021
Editor: 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

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

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

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

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