Journal of Machine Learning for Modeling and Computing
Last updated ISSN 2689-3967
Journal of Machine Learning for Modeling and Computing is published by Begell House in physics and astronomy. It is a subscription journal. Its article processing charge is not published.
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What it publishes
Recent work in Journal of Machine Learning for Modeling and Computing concentrates on these topics, taken from its published record rather than from its own description:
- Model Reduction and Neural Networks
- Neural Networks and Applications
- Probabilistic and Robust Engineering Design
- Gaussian Processes and Bayesian Inference
- Machine Learning in Materials Science
- Advanced Multi-Objective Optimization Algorithms
- Computational Physics and Python Applications
- Fluid Dynamics and Turbulent Flows
- Seismic Imaging and Inversion Techniques
- Control Systems and Identification
Key facts
| Publisher | Begell House |
|---|---|
| ISSN | 2689-3967, 2689-3975 |
| Subject area | Physics and Astronomy |
| Access | Subscription |
| Article processing charge | Not published |
| Indexed in | Scopus |
| Articles published | 140 |
| Publishing since | 2020 |
Facts come from OpenAlex, DOAJ and Wikidata and may lag the journal’s own pages. Check the publisher’s site before submitting. Indexing shown here is what is recorded, not a complete picture — about a third of journals have no indexing recorded anywhere we can read, so “not recorded” does not mean a journal is absent from Scopus or Web of Science.
Journals like Journal of Machine Learning for Modeling and Computing
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