Machine Learning-aided Multiscale Modelling Framework for Polymer Membranes

Project Information

ML-MULTIMEM

Grant agreement ID: 101030668

DOI

10.3030/101030668

Project closed

EC signature date 27 April 2021

Start date 15 November 2021

End date 14 November 2023

Funded under

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Total cost

€ 153 085,44

EU contribution

€ 153 085,44

Coordinated by

"NATIONAL CENTER FOR SCIENTIFIC RESEARCH ""DEMOKRITOS"""
Greece

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Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Conference proceedings (2)

Developing Machine-Learned Potentials for Coarse-Grained Molecular Simulations: Challenges and Pitfalls

Author(s): Ricci, Eleonora; Giannakopoulos, George; Karkaletsis, Vangelis; Theodorou, Doros N.; Vergadou, Niki
Published in: Proceedings of 12th Conference on Artificial Intelligence (SETN), Issue September 7-9, 2022, 2022
Publisher: ACM
DOI: 10.1145/3549737.3549793

Investigation of Machine Learning-based Coarse-Grained Mapping Schemes for Organic Molecules

Author(s): Nasikas, Dimitris; Ricci, Eleonora; Giannakopoulos, George; Karkaletsis, Vangelis; Theodorou, Doros N.; Vergadou, Niki
Published in: Proceedings of 12th Conference on Artificial Intelligence (SETN), Issue September 7-9, 2022, 2022
Publisher: ACM
DOI: 10.1145/3549737.3549792