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

Informazioni relative al progetto

ACHIEF

ID dell’accordo di sovvenzione: 958374

DOI 10.3030/958374

Data della firma CE 23 Settembre 2020

Data di avvio 1 Ottobre 2020

Data di completamento 30 Settembre 2024

Finanziato da

• INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Advanced manufacturing and processing

Costo totale € 5 779 003,75

Contributo UE € 5 779 003,75

Coordinato da

COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES
France

Risultati finali

Websites, patent fillings, videos etc. (2)

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

Documents, reports (1)

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

Pubblicazioni

Conference proceedings (2)

Generative Adversarial Networks for Generation of Synthetic High Entropy Alloys

Autori: Precker, Christian Eike Gregores Coto, Andrea Muíños Landín, Santiago
Pubblicato in: Proceedings of the International Conference on Materials Science and Artificial Intelligence (ICMSAI 2021), Amsterdam, Netherlands, Numero 2021, 2021
Editore: 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

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

Peer reviewed articles (1)

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

Autori: Andrea Gregores Coto, Christian Eike Precker, Tom Andersson, Anssi Laukkanen, Tomi Suhonen, Pilar Rey Rodriguez, Santiago Muíños-Landín
Pubblicato in: COMPUTER METHODS IN MATERIALS SCIENCE, Numero 2023, vol. 23, no. 1, 2023, Pagina/e 13–26, ISSN 1641-8581
Editore: AGH University Press
DOI: 10.7494/cmms.2023.1.0802