Machine Learning and Artificial Intelligence in Rock Mechanics
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Civil Engineering".
Deadline for manuscript submissions: 30 November 2024 | Viewed by 111
Special Issue Editors
Interests: rock mechanics; intelligent mining; lithologic identification
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue titled "Machine Learning and Artificial Intelligence in Rock Mechanics" aims to explore the extensive applications of artificial intelligence (AI) and machine learning in rock mechanics and related fields. It covers the latest advancements and innovative applications of AI technology in rock mechanics, geological engineering, mining, underground engineering, and resource development. From data-driven predictive models to intelligent mining and geological explorations, this Special Issue delves into the leveraging of machine learning and AI techniques to enhance the understanding and application of rock mechanics, advancing the frontier of this field. Submissions containing new algorithms, case studies, and technological innovations that provide inspiration and the latest insights to researchers and practitioners of this interdisciplinary field are welcome.
Prof. Dr. Zhongwen Yue
Dr. Hongze Zhao
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. Applied Sciences 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.
Keywords
- rock mechanics
- intelligent mining
- lithologic identification
- artificial intelligence
- data-driven models
