Data Driven Computational Mechanics at EXascale

Project Information

DComEX

Grant agreement ID: 956201

DOI 10.3030/956201

Project closed

EC signature date 3 December 2020

Start date 1 April 2021

End date 30 September 2024

Funded under

• INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)

Total cost € 2 981 250,00

EU contribution € 1 359 375,00

Coordinated by

ETHNICON METSOVION POLYTECHNION
Greece

CORDIS provides links to public deliverables and publications of HORIZON projects.

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 .

Deliverables

Open Research Data Pilot (1)

Data management plan (report)

Other (3)

DCoMEX codes baseline prototype (software module)
UQ aware image segmentation prototype (software module)
DMAP algorithm prototype

Documents, reports (4)

Communication, dissemination and exploitation plan (report)
System requirements, design and architecture (report)
Collaboration plan with definition of common objectives and activities including Milestones (report)

Collaboration plan with definition of common objectives and activities including Milestones. Updated versions will be delivered at the end of each reporting period (report)

DCoMEX codes baseline prototype (report)

Publications

Peer reviewed articles (22)

AI‐enhanced iterative solvers for accelerating the solution of large‐scale parametrized systems

Author(s): Stefanos Nikolopoulos, Ioannis Kalogeris, George Stavroulakis, Vissarion Papadopoulos
Published in: International Journal for Numerical Methods in Engineering, Issue 125, 2023, ISSN 0029-5981
Publisher: John Wiley & Sons Inc.
DOI: 10.1002/nme.7372

Solving inverse problems in physics by optimizing a discrete loss: Fast and accurate learning without neural networks

Author(s): Petr Karnakov, Sergey Litvinov, Petros Koumoutsakos
Published in: PNAS Nexus, Issue 3, 2024, ISSN 2752-6542
Publisher: Oxford University Press
DOI: 10.1093/pnasnexus/pgae005

A computational framework for the indirect estimation of the interface thermal resistance of composite materials using XPINNs

Author(s): L. Papadopoulos, S. Bakalakos, S. Nikolopoulos, I. Kalogeris, V. Papadopoulos
Published in: International Journal of Heat and Mass Transfer, Issue 2023, 2023, ISSN 0017-9310
Publisher: Pergamon Press Ltd.
DOI: 10.1016/j.ijheatmasstransfer.2022.123420

Quantitative 3D histochemistry reveals region-specific amyloid-β reduction by the antidiabetic drug netoglitazone

Author(s): Francesca Catto, Ehsan Dadgar-Kiani, Daniel Kirschenbaum, Athena E. Economides, Anna Maria Reuss, Chiara Trevisan, Davide Caredio, Delic Mirzet, Lukas Frick, Ulrike Weber-Stadlbauer, Sergey Litvinov, Petros Koumoutsakos, Jin Hyung Lee, Adriano Aguzzi
Published in: biorxiv, 2024, ISSN 1559-6095
Publisher: Cold Spring Harbor Laboratory Press
DOI: 10.1101/2024.08.15.608042

Personalized in silico model for radiation-induced pulmonary fibrosis

Author(s): E. Ioannou, M. Hadjicharalambous, A. Malai, E. Papageorgiou, A. Peraticou, N. Katodritis, D. Vomvas, V. Vavourakis
Published in: Journal of the Royal Society Interface, 2024, ISSN 1742-5662
Publisher: Zenodo
DOI: 10.5281/zenodo.13766990

Closure Discovery for Coarse-grained Partial Differential Equations with Grid-based Reinforcement Learning

Author(s): JP. von Bassewitz, S. Kaltenbach, P. Koumoutsakos
Published in: arxiv, 2025, ISSN 2331-8422
Publisher: Cornell University
DOI: 10.48550/arxiv.2402.00972

Interpretable learning of effective dynamics for multiscale systems

Author(s): E. Menier, S. Kaltenback, M. Yagoubi, M. Schoenauer, P. Koumoutsakos
Published in: arXiv, 2025, ISSN 2331-8422
Publisher: Cornell University
DOI: 10.48550/arxiv.2309.05812

Machine learning accelerated transient analysis of stochastic nonlinear structures

Author(s): S. Nikolopoulos, I. Kalogeris, V. Papadopoulos
Published in: Engineering Structures, Issue Volume 257, 2022, 2022, ISSN 0141-0296
Publisher: Pergamon Press Ltd.
DOI: 10.1016/j.engstruct.2022.114020

Toward image-based personalization of glioblastoma therapy: A clinical and biological validation study of a novel, deep learning-driven tumor growth model

Author(s): Marie-Christin Metz, Ivan Ezhov, Jan C Peeken, Josef A Buchner, Jana Lipkova, Florian Kofler, Diana Waldmannstetter, Claire Delbridge, Christian Diehl, Denise Bernhardt, Friederike Schmidt-Graf, Jens Gempt, Stephanie E Combs, Claus Zimmer, Bjoern Menze, Benedikt Wiestler
Published in: Neuro-Oncology Advances, Issue 6, 2024, ISSN 2632-2498
Publisher: Oxford University Press
DOI: 10.1093/noajnl/vdad171

Multiscale analysis of nonlinear systems using a hierarchy of deep neural networks

Author(s): Stefanos Pyrialakos, Ioannis Kalogeris, Vissarion Papadopoulos
Published in: International Journal of Solids and Structures, Issue 271-272, 2024, Page(s) 112261, ISSN 0020-7683
Publisher: Pergamon Press Ltd.
DOI: 10.1016/j.ijsolstr.2023.112261

Domain decomposition methods for 3D crack propagation problems using XFEM

Author(s): S. Bakalakos, M. Georgioudakis, M. Papadrakakis
Published in: Computer Methods in Applied Mechanics and Engineering, Issue 00457825, 2022, ISSN 0045-7825
Publisher: Elsevier BV
DOI: 10.1016/j.cma.2022.115390

Fusing nonlinear solvers with transformers for accelerating the solution of parametric transient problems

Author(s): Leonidas Papadopoulos, Konstantinos Atzarakis, Gerasimos Sotiropoulos, Ioannis Kalogeris, Vissarion Papadopoulos
Published in: Computer Methods in Applied Mechanics and Engineering, Issue 428, 2024, Page(s) 117074, ISSN 0045-7825
Publisher: Elsevier BV
DOI: 10.1016/j.cma.2024.117074

An efficient hierarchical Bayesian framework for multiscale material modeling

Author(s): Stefanos Pyrialakos, Ioannis Kalogeris, Vissarion Papadopoulos
Published in: Composite Structures, Issue 351, 2024, Page(s) 118570, ISSN 0263-8223
Publisher: Elsevier BV
DOI: 10.1016/j.compstruct.2024.118570

Generative Learning of the Solution of Parametric Partial Differential Equations using Guided Diffusion Models and Virtual Observations

Author(s): H. Gao, S. Kaltenbach, P. Koumoutsakos
Published in: arXiv, 2025, ISSN 2331-8422
Publisher: Cornell University
DOI: 10.48550/arxiv.2408.00157

Predictive surrogates for Aerodynamic Performance of Wind Propulsion System Configurations

Author(s): M. Reche-Vilanova, S. Kaltenbach, P. Koumoutsakos, H.B. Bingham, M. Fluck, D. Morris, H.N. Psaraftis
Published in: Applied Ocean Research, 2025, ISSN 0141-1187
Publisher: Pergamon Press Ltd.

Learn-Morph-Infer: A new way of solving the inverse problem for brain tumor modeling

Author(s): Ivan Ezhov, Kevin Scibilia, Katharina Franitza, Felix Steinbauer, Suprosanna Shit, Lucas Zimmer, Jana Lipkova, Florian Kofler, Johannes C. Paetzold, Luca Canalini, Diana Waldmannstetter, Martin J. Menten, Marie Metz, Benedikt Wiestler, Bjoern Menze
Published in: Medical Image Analysis, Issue 83, 2024, Page(s) 102672, ISSN 1361-8415
Publisher: Elsevier BV
DOI: 10.1016/j.media.2022.102672

Generative Learning for the Effective Dynamics of Complex High-dimensional Systems

Author(s): H. Gao, S. Kaltenbach, P. Koumoutsakos
Published in: Nature Communications, 2025, ISSN 2041-1723
Publisher: Nature Publishing Group
DOI: 10.48550/arxiv.2402.17157

Individualizing Glioma Radiotherapy planning by Optimization of a Data and Physics-Informed Discrete Loss

Author(s): M. Balcerak, J. Weidner, P. Karnakov, I. Ezhov, S. Litvinov, P. Koumoutsakos, R.Z. Zhang, J.S. Lowengrub, I. Yakushev, B. Wiestler, B. Menze
Published in: arXiv, 2025, ISSN 2331-8422
Publisher: Cornell University

The stress-free state of human erythrocytes: Data-driven inference of a transferable RBC model

Author(s): Lucas Amoudruz, Athena Economides, Georgios Arampatzis, Petros Koumoutsakos
Published in: Biophysical Journal, Issue 122, 2024, Page(s) 1517-1525, ISSN 0006-3495
Publisher: Biophysical Society
DOI: 10.1016/j.bpj.2023.03.019

Interpretable reduced-order modeling with time-scale separation

Author(s): S. Kaltenbach, P.S. Koutsourelakis, P. Koumoutsakos
Published in: arXiv, 2025, ISSN 2331-8422
Publisher: Cornell University
DOI: 10.48550/arxiv.2303.02189

A learnable prior improves inverse tumor growth modeling

Author(s): J. Weidner, I. Ezhov, M. Metz, S. Litvinov, S. Kaltenbach, M. Balcerak, L. Feiner, L. Lux, F. Kofler, J. Lipkova, J. latz, D. Rueckert, B. Menze, B. Wiestler
Published in: arxiv, 2025, ISSN 2331-8422
Publisher: Cornell University
DOI: 10.48550/arxiv.2403.04500

An adaptive semi‐implicit finite element solver for brain cancer progression modeling

Author(s): Konstantinos Tzirakis, Christos Panagiotis Papanikas, Vangelis Sakkalis, Eleftheria Tzamali, Yannis Papaharilaou, Alfonso Caiazzo, Triantafyllos Stylianopoulos, Vasileios Vavourakis
Published in: International Journal for Numerical Methods in Biomedical Engineering, Issue 39, 2023, ISSN 2040-7939
Publisher: John Wiley & Sons Ltd.
DOI: 10.1002/cnm.3734

Conference proceedings (2)

Improving the accuracy of Coarse-grained Partial Differential Equations with Grid-based Reinforcement Learning

Author(s): JP. von Bassewitz, S. Kaltenbach, P. Koumoutsakos
Published in: 2024
Publisher: ICML-AI4Science

A for-loop is all you need. For solving the inverse problem in the case of personalized tumor growth modeling

Author(s): I. Ezhov, M. Rosier, L. Zimmer, F. Kofler, S. Shit, J.C. Paetzold, K. Scibilia, F. Steinbauer, L. Maechler, K. Franitza, T. Amiranashvili, M.J. Menten, M. Metz, S. Conjeti, B. Wiestler, B. Menze
Published in: Proceedings of Machine Learning Research, Issue 193, 2022, Page(s) 566-577
Publisher: Machine Learning for Health