A Diffusion Maps workflow enabled by Neural Networks and Equation-free calculations for multi scale material and process modelling

Project Information

DataProMat

Grant agreement ID: 890676

DOI

10.3030/890676

Project closed

EC signature date 4 May 2020

Start date 1 September 2021

End date 31 August 2023

Funded under

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Total cost

€ 178 320,00

EU contribution

€ 178 320,00

Coordinated by

UNIVERSITE DU LUXEMBOURG
Luxembourg

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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

Other (1)

Physics-agnostic and Physics-infused machine learning for thin films flows: modeling, and predictions from small data

Author(s): Martin-Linares, Cristina P.; Psarellis, Yorgos M.; Karapetsas, Georgios; Koronaki, Eleni D.; Kevrekidis, Ioannis G.
Published in: ArXiV, Issue 1, 2023
Publisher: Cornell Tech
DOI: 10.48550/arxiv.2301.12508

Peer reviewed articles (3)

An efficient chemistry-enhanced CFD model for the investigation of the rate-limiting mechanisms in industrial Chemical Vapor Deposition reactors

Author(s): Paris Papavasileiou; Eleni D. Koronaki; Gabriele Pozzetti; Martin Kathrein; Christoph Czettl; Andreas G. Boudouvis; T.J. Mountziaris; Stéphane P.A. Bordas
Published in: Chemical Engineering Research and Design, Issue 1, 2022, ISSN 0263-8762
Publisher: Institute of Chemical Engineers
DOI: 10.1016/j.cherd.2022.08.005

Equation-based and data-driven modeling strategies for industrial coating processes

Author(s): Paris Papavasileiou; Eleni D. Koronaki; Gabriele Pozzetti; Martin Kathrein; Christoph Czettl; Andreas G. Boudouvis; Stéphane P.A. Bordas
Published in: Computers in Industry, Issue 1, 2023, ISSN 0166-3615
Publisher: Elsevier BV
DOI: 10.1016/j.compind.2023.103938

From partial data to out-of-sample parameter and observation estimation with Diffusion Maps and Geometric Harmonics

Author(s): Koronaki, Eleni D.; Evangelou, Nikolaos; Psarellis, Yorgos M.; Boudouvis, Andreas G.; Kevrekidis, Ioannis G.
Published in: Computers and Chemical Engineering, Issue 1, 2023, ISSN 0098-1354
Publisher: Pergamon Press Ltd.
DOI: 10.1016/j.compchemeng.2023.108357