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EPJ E Topical Issue: Quantitative AI in Complex Fluids and Complex Flows: Challenges and Benchmarks

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Published on 30 October 2023

Guest Editors: Luca Biferale, Michele Buzzicotti and Massimo Cencini.

The collection addresses open problems, challenges, and benchmarks for data-driven and equation-informed tools for data assimilation, prediction, (subgrid-scale) modeling, inpainting, classification, and (optimal) control of Eulerian and Lagrangian problems in complex flows.

The goal is to move from proof-of-concept to quantitative benchmarks and grand challenges, including scaling of algorithms and complexity of datasets.

The original research papers, presented in a colloquium format, focus on the latest experimental, theoretical, or computational advances and address the interpretability, superiority, and usability of data-driven tools when applied to realistic fluid dynamics problems in engineering, geophysics, biophysics, and other fields. Key topics covered include: (i) Modeling and controlling complex flows with data-driven methods. (ii) Prediction and data-assimilation of multiscale flows. (iii) Reconstruction, super-resolution of fluid flows with data-driven and physics-informed tools. (iv) Optimization of navigation and other tasks in complex flows. (v) Animal behavior in flows.

All articles of this collection are available here and are freely accessible until 27 December 2023. For further information read the Editorial.

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This was our first experience of publishing with EPJ Web of Conferences. We contacted the publisher in the middle of September, just one month prior to the Conference, but everything went through smoothly. We have had published MNPS Proceedings with different publishers in the past, and would like to tell that the EPJ Web of Conferences team was probably the best, very quick, helpful and interactive. Typically, we were getting responses from EPJ Web of Conferences team within less than an hour and have had help at every production stage.
We are very thankful to Solange Guenot, Web of Conferences Publishing Editor, and Isabelle Houlbert, Web of Conferences Production Editor, for their support. These ladies are top-level professionals, who made a great contribution to the success of this issue. We are fully satisfied with the publication of the Conference Proceedings and are looking forward to further cooperation. The publication was very fast, easy and of high quality. My colleagues and I strongly recommend EPJ Web of Conferences to anyone, who is interested in quick high-quality publication of conference proceedings.

On behalf of the Organizing and Program Committees and Editorial Team of MNPS-2019, Dr. Alexey B. Nadykto, Moscow State Technological University “STANKIN”, Moscow, Russia. EPJ Web of Conferences vol. 224 (2019)

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ISSN: 2100-014X (Electronic Edition)

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