Applied Mathematical Modeling and Machine Learning for Geomechanics and Superconducting Materials
A special issue of AppliedMath (ISSN 2673-9909). This special issue belongs to the section "Computational and Numerical Mathematics".
Deadline for manuscript submissions: 30 September 2026 | Viewed by 939
Special Issue Editors
Interests: rock mechanics; soil-rock mixtures; freeze thaw cycle; particle flow code
Interests: coupled field theory and numerical computation; solid mechanics of superconducting structures; blasting control technology; artificial intelligence algorithms
Interests: rock mechanics; fracture mechanics; multiple field coupling theory
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
We invite you to submit your research results for publication in this Special Issue of AppliedMath, focusing on the latest advances in the intersection of machine learning, geomechanics, and superconducting mechanics. This Special Issue will showcase the latest advancements in the field and provide a platform for researchers to share their promising findings.
The combination of machine learning and geomechanics has been the most popular research topic in this field in recent years. Machine learning provides varied techniques and ideas for data preprocessing, feature extraction, model selection of rocks, concrete, superconducting materials, etc. By deeply integrating traditional geomechanics, superconducting mechanics, and machine learning, more accurate mathematical models can be proposed to meet the challenges of scientific research and engineering applications in the era of big data.
In this Special Issue, we invite and welcome original papers on machine learning, geomechanics, superconductivity, etc.
Dr. Guanglin Tian
Dr. Wenhai Zhou
Dr. Taoying Liu
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. AppliedMath 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 1200 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
- discrete element method
- machine learning
- deep learning
- mathematical model
- rock mechanics
- superconducting mmechanics
- soil–rock mixture mechanics
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