Post-Modern Computational Fluid Dynamics

A special issue of Computation (ISSN 2079-3197).

Deadline for manuscript submissions: closed (30 April 2024) | Viewed by 339

Special Issue Editor

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Guest Editor
Department of Naval Architecture, School of Engineering, University of West Attica, Aigaleo, Greece
Interests: CFD (techniques, industrial applications); computational methods; energy technology; reduced-order modeling; design optimization; flow control; modeling of energy systems (power cycles, waste heat recovery, natural gas liquefaction, supercritical CO2 cycle); operational and embodied energy; life cycle assessment in buildings and ships

Special Issue Information

Dear Colleagues,

Computational fluid dynamics (CFD) has matured and now dominates many branches of research and engineering applications. Nowadays, there are a lot of sufficiently tested and well-documented CFD codes available (commercial, in-house laboratorial ones, of free access), capable of simulating engineering flows. In conjunction with the continued development and upgrading of computing facilities, CFD offers the capability of faster and low-cost simulations that can provide detailed description of flows, compared to experiments. Furthermore, CFD provides the capability to obtain insight into cases for which no experimental data exist or are not even feasible. The availability of reliable CFD tools enables one to tackle specialized problems and industrial applications of various diverse fields, as well as to develop methods relying on CFD, such as design optimization, flow control, reduced-order models, machine-learning-assisted CFD, etc. In light of the above, it is my immense pleasure to invite you to contribute to a high-impact Special Issue entitled “Post-Modern Computational Fluid Dynamics”, mainly focusing on industrial or specialized CFD applications (in energy technology and mechanical, naval, civil and chemical engineering) and on developing either CFD techniques or methods based on CFD. Topics of interest include, but are not limited to, the following:

  • CFD models and techniques;
  • Fast fluid dynamics;
  • CFD applications (industrial, novel, specialized, micro-scale to large-scale);
  • Design optimization and application in multidisciplinary systems;
  • Flow control;
  • Reduced-order modeling of flows;
  • Machine learning in CFD.

Dr. Dimitrios Koubogiannis
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Computation is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.


  • CFD techniques
  • CFD applications
  • design optimization
  • flow control
  • reduced-order modeling
  • machine learning

Published Papers

There is no accepted submissions to this special issue at this moment.
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