Artificial intelligence is rapidly transforming mathematical modeling, scientific computation, and physical research by enabling faster analysis, automated discovery, and intelligent simulation of complex systems. Machine learning algorithms increasingly complement traditional mathematical approaches in solving high-dimensional and data-intensive problems. The Journal of Mathematics, Physics and Mechanics encourages interdisciplinary research exploring artificial intelligence, scientific computing, data-driven mathematical models, and intelligent computational techniques that accelerate innovation across mathematics, physics, and mechanics.
| 2-5 Days | Initial Quality & Plagiarism Check |
| 25-35 Days |
Peer Review Feedback |
| 45-60 Days | Total article processing time |
| English | Publication Language |
| Single-Blind | Peer-Review Model |
| 17% | Acceptance Rate |
| <18% | Similarity Screening Guideline |
| Open Access | Access Model |
All manuscripts undergo editorial assessment and originality screening as part of the journal's evaluation process. The acceptance rate shown is based on journal-level editorial data and may change over time. Similarity reports are assessed editorially and are not interpreted solely on the basis of a numerical similarity score.