Modeling, Simulation, and Optimization of Fluids, Materials, and Thermo-Mechanical Systems for Emerging Engineering Applications

Dear Colleagues,

Recent advances in energy systems, manufacturing technologies, thermal management, materials engineering, and automation have intensified the need for accurate and efficient modeling, simulation, and optimization of advanced fluids, structural materials, and thermo-mechanical processes. Modern engineering applications increasingly complement analytical theories with the integration of numerical simulation, experimental methods, control strategies, and data-driven algorithms to improve system performance, safety, and sustainability. As these approaches continue to converge, new opportunities emerge for developing innovative solutions that address complex multi-physics and multi-scale phenomena.

This Special Issu, “Modeling, Simulation, and Optimization of Fluids, Materials, and Thermo-Mechanical Systems for Emerging Engineering Applications”, invites high-quality original research articles and comprehensive reviews that explore recent advances in the characterization, modeling, and engineering of complex fluid dynamics, material behaviors, and thermo-mechanical phenomena with relevance to emerging technological domains. Contributions integrating analytical formulations, numerical simulations, experimental methods, or data-driven and machine learning methodologies are particularly welcome.

Topics of interest include, but are not limited to, the following:

• Modeling, simulation, and optimization of advanced fluids, including refrigerants, nanofluids, and functional fluids.
• Modeling and analysis of thermo-mechanical and thermo-energy processes, including heat and mass transfer, welding, and CFD-based methods.
• Characterization and modeling of (thermo-)mechanical behavior of advanced materials and structures, including residual stresses, fatigue, and fracture mechanics.
• Multiscale and multiphysics modeling of fluid–structure or thermo-mechanical interactions.
• Dynamics, control, and optimization of complex engineering systems and industrial processes.
• Machine learning, data-driven, and hybrid computational methods for fluids, materials, and process engineering.
• Engineering applications in clean and renewable energy, advanced thermal systems, manufacturing, robotics, transportation, and smart technologies.

We look forward to receiving high-quality submissions from researchers working across these interdisciplinary fields.

Prof. Dr. Jean Fulbert Ituna-Yudonago
Prof. Dr. Christian Jesús García López
Prof. Dr. Juan Serrano-Arellano
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-anonymized 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 semimonthly 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.