Artificial Neural Network and Heat Transfer
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "J1: Heat and Mass Transfer".
Deadline for manuscript submissions: closed (31 December 2021) | Viewed by 432
Special Issue Editors
Interests: heuristics; heat transfer; modeling; inverse heat conduction problems
Interests: machine learning; neural networks; simulation; GPU programming
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The Guest Editors are inviting novel submissions to a Special Issue of Energies on the subject area of “Artificial Neural Network and Heat Transfer”. There have been many emerging techniques for the simulation of Heat Transfer to solve several problems in the field of physics, material science, and metallurgy. Physical phenomena involved in Heat Transfer processes are extraordinarily complex, and therefore, there are several already known approximate methods based on numerical calculations and heuristics. Nevertheless, machine learning techniques are also applicable for these purposes. Artificial neural network (ANN)-based models trained on experimental or generated datasets can be used for similar predictions.
We seek original research papers on novel methods, discussions about the theoretical background (limitations of the experiments, parameters of the training data, data augmentation, ANN architecture, evaluation of the results, optimization methods, etc.), and high-level practical applications from the field of heat transfer.
Dr. Imre Felde
Dr. Sándor Szénási
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. Energies 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 2600 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
- Optimization
- Modeling
- Inverse problems
- Heat transfer
- Thermal energy
- Thermal conduction
- Thermal convection
- Thermal radiation
- Phase changes
