Innovations in Multiphase Flow

A special issue of Fluids (ISSN 2311-5521). This special issue belongs to the section "Flow of Multi-Phase Fluids and Granular Materials".

Deadline for manuscript submissions: 31 October 2026 | Viewed by 23

Special Issue Editors


E-Mail Website
Guest Editor
School of Mechanics and Engineering Science, Shanghai University, Shanghai 200072, China
Interests: multiscale bubble; AI visual measurement; CFD simulation; multiphase reactive flow

E-Mail Website
Guest Editor
School of Mechanics and Engineering Science, Shanghai University, Shanghai 200072, China
Interests: computational fluid dynamics; discontinuous Galerkin method; hyperbolic Navier-Stokes method; compressible multiphase flow
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Innovations in multiphase flow research are increasingly driven by the rapid development of advanced sensing technologies, data-driven modeling, and digital-twin frameworks. This Special Issue aims to highlight emerging methodologies that integrate high-resolution multiphase-flow measurement, artificial intelligence, and digital-twin techniques to improve the prediction, monitoring, and control of complex multiphase systems. Particular emphasis will be placed on innovations that link experimental data with simulation-assisted or AI-enhanced analysis, including flow-field reconstruction, bubble/droplet dynamics quantification, interfacial transport characterization, and hybrid CFD–ML modeling strategies.

In addition, contributions that support the foundations of this theme—such as advances in multiphase-flow diagnostics, data assimilation, uncertainty quantification, reduced-order modeling, and real-time monitoring technologies—are strongly encouraged. Applications may cover gas–solid fluidization, reactive and thermal multiphase processes, particle-laden flows, and process-intensification systems in energy, chemical, and environmental engineering.

By focusing on the integration of measurement innovation, AI-assisted modeling, and digital-twin development, this Special Issue seeks to provide a cohesive platform for next-generation multiphase-flow research and promote new interdisciplinary insights into the design and optimization of complex flow systems.

Prof. Dr. Luhaibo Zhao
Prof. Dr. Lingquan Li
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com 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 250 words) can be sent to the Editorial Office for assessment.

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. Fluids 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.

Keywords

  • multiphase flow measurement
  • AI-assisted flow modeling
  • digital twin
  • hybrid CFD–ML modeling
  • bubble/droplet dynamics
  • gas–solid fluidization
  • interfacial transport
  • real-time monitoring
  • reduced-order modeling
  • data-driven simulation

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Published Papers

This special issue is now open for submission.
Back to TopTop