Data-Driven Modeling and Applications for Flow, Heat Transfer, and Combustion
A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Energy Systems".
Deadline for manuscript submissions: 15 November 2024 | Viewed by 89
Special Issue Editors
Interests: combustion; multi-phase flows; computational fluid dynamics; detonation propulsion; machine learning
Interests: turbulent combustion; large eddy simulation; gas turbines combustion technology; hydrogen and ammonia combustion
Special Issues, Collections and Topics in MDPI journals
Interests: numerical combustion; spray; PINN
Special Issue Information
Dear Colleagues,
Data-driven methodologies have become a crucial tool for understanding flow dynamics, heat transfer phenomena, and reacting flows across various domains of applications. This Special Issue explores computational approaches and experimental diagnoses combined with machine learning methods for single- and multi-phase flows, heat and mass transfer processes, and reacting flows, with applications pertinent to combustion engines, turbomachinery, and power generation systems.
We invite original research articles, review articles, and technical notes that contribute to the advancement of knowledge in this interdisciplinary field.
Topics include, but are not limited to, the following:
- Data-driven turbulence modeling and closures;
- Data-driven models for turbulence/chemistry interaction;
- Data-driven models for mass and heat transfer processes;
- Machine learning for combustion chemistry acceleration;
- Machine learning for fluid dynamics data analysis;
- Machine learning for flow control and detection.
Dr. Songbai Yao
Prof. Ping Wang
Dr. Bosen Wang
Dr. Weijia Qian
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 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. Processes 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 2400 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
- machine learning
- fluid dynamics
- heat transfer
- reacting flows
- numerical modeling
- experimental diagnosis
