Synergy between Multiphysics/Multiscale Modeling and Machine Learning

Dear Colleagues,

The proposed special issue aims to explore recent advancements in mechanics and applied mathematics within the dynamic research area of multi-scale modeling and computations applied to various domains, including solids, fluids, structures, systems, and multi-physics problems. A key objective of this thematic issue is to investigate the synergies between traditional multi-physics/multi-scale methodologies and model construction techniques utilizing machine learning algorithms. Drawing upon the expertise of computational mechanics specialists, this special issue endeavors to identify efficient reduced models developed with appropriate assumptions and kinematic constraints. Additionally, classical structural models are highlighted for their utility in constructing relevant multi-scale and multi-physics models. Concurrently, there is a burgeoning interest in leveraging Artificial Intelligence (AI) and statistical data analysis algorithms, including machine learning approaches, for mechanics modeling. How can these approaches be harmonized? Can they leverage each other's advancements? Can model construction proficiency be simplified to the application of AI algorithms?

Therefore, the special issue also welcomes submissions from the fields of aerospace engineering, civil engineering, mechanical engineering, materials science, and applied mathematics for the design and analysis of numerical algorithms.

Prof. Dr. Adnan Ibrahimbegovic
Guest Editor

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. Computation 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.