Combustion Prediction, Monitoring and Diagnostics

Dear Colleagues,

The accurate modeling and simulation of combustion processes are essential for advancing our understanding of reactive flows, improving energy efficiency, and reducing emissions in practical systems. This Special Issue focuses on recent developments in computational frameworks, numerical simulations, and mathematical modeling techniques that support combustion diagnostics and monitoring. Emphasis is placed on models that enable real-time prediction, multi-scale analysis, and system-level integration for engines, gas turbines, solid propellants, and industrial burners.

We particularly welcome studies that demonstrate the synergy between simulations and experimental diagnostics—where experimental data inform model development, calibration, and validation. Topics include high-fidelity simulations of flame structure, pollutant formation, and transient phenomena, as well as model reduction, uncertainty quantification, and data assimilation. Submissions that incorporate machine learning, physics-informed models, or sensor-integrated simulations to improve diagnostics or control strategies are also encouraged. This Special Issue aims to highlight integrated, multi-disciplinary approaches to combustion monitoring and control that combine modeling, simulation, and diagnostics.

Dr. Mayank Khichar
Dr. Abhishek Jain
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. Fire 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.

• combustion modeling and simulation
• reactive flow computation
• model validation with experiments
• reduced-order modeling
• data assimilation in combustion
• uncertainty quantification
• emission and flame structure prediction
• multi-scale and multi-physics simulations
• machine learning in combustion modeling
• sensor-integrated combustion simulations