Data-Centric Engineering Special Collection
Special Issue on Data-Centric Engineering: Physics-enhanced Machine Learning and Data-driven Nonlinear Dynamics
We're delighted to announce that Data-Centric Engineering, an #openaccess journal at Cambridge University Press, is partnering with the EUROMECH Colloquium 662 on Physics-enhanced Machine Learning and Data-driven Nonlinear Dynamics.
Authors have the opportunity to submit their work for peer-review and publication in DCE as part of a special collection of articles dedicated to this area.
📅 Deadline for DCE submission: 1 November 2026
📑 Info on how to submit:
Why submit to DCE?
✔ High quality and efficient peer-review process: papers published as soon as possible after acceptance.
✔ Articles presented as part of a collection dedicated to the event, making them more visible to people interested in the area.
✔ Open Access without financial barriers: all can publish on an OA basis irrespective of funding situation or location.
✔ No restrictions on the use of preprint repositories like arXiv, if you want to share work prior to the peer-review process.
✔ Well-cited and impactful venue: 2024 Impact Factor: 2.8; 2024 CiteScore: 4.4
Editors:
Alice Cicirello (University of Cambridge) - DCE Editor-in-Chief
Eleni Chatzi (ETH Zürich) - DCE Advisory Board
Andrea Manzoni, PhD (Politecnico di Milano) - Guest Editor
Pierpaolo Belardinelli (Marche Polytechnic University) - Guest Editor