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Multiscale Computation and Machine Learning
This topical collection belongs to the section “E: Applied Mathematics“.
Topical Collection Information
Dear Colleagues,
Multiscale Computation and Machine Learning play an increasingly important role in many applications. Many real-world applications rely on multiscale simulations.These simulations often use pre-computations to train macroscale quantities. In this regard, machine learning approaches can be used to accelerate and enhance multiscale simulations. On the other hand, multiscale models and simulations can be used in designing machine learning algorithms that are suitable for solving challenging applications. This collection aims at creating a common platform for publishing papers on multiscale computation, machine learning, and their combination.
The aim of this Topical Collection is to bring together recent scientific advances, reviews, communications, and short notes dealing with multiscale simulations and machine learning.
Prof. Dr. Yalchin Efendiev
Prof. Dr. Eric T. Chung
Collection 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. Mathematics 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
- multiscale
- machine learning
- simulations
- porous media
- finite element
- finite volume

