Scientific Machine Learning Theory and Computation
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Mathematics and Computer Science".
Deadline for manuscript submissions: 15 January 2025 | Viewed by 91
Special Issue Editor
Interests: mathematical foundations of machine learning and data sciences; applied probability and stochastic dynamics; applied analysis and Bayesian and computational statistics of PDEs; inverse problems and uncertainty quantification
Special Issue Information
Dear Colleagues,
Machine learning, especially deep learning, has become an indispensable tool for solving many challenging problems in the fields of science and technology. This Special Issue on "Scientific Machine Learning Theory and Computation" aims to explore the intersection of cutting-edge machine learning and the traditional sciences, highlighting the innovative methodologies and theoretical insights that advance our capabilities and understanding of computational science. We seek contributions to this Special Issue that demonstrate the application of machine learning techniques to solve complex scientific problems, including, but not limited to, the realms of physics, chemistry, biology, and engineering. Emphasis will be placed on the use of novel algorithms, theoretical analysis, and computational efficiency in scientific contexts. Papers should showcase how machine learning can uncover new scientific knowledge, optimize computational workflows, and enhance the predictive accuracy of scientific models. This issue invites researchers to share their latest findings, providing a platform for advancing the field of scientific machine learning.
Dr. Yulong Lu
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 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. 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
- deep learning
- machine learning
- scientific computing
- numerical analysis
- optimization
