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Machine Learning: Science and Technology
Metadata for this journal is being automatically enriched from connected scholarly data sources.
Journal information
- Publisher
- IOP Publishing
- Subjects
- applied algorithms · artificial intelligence · Computational Drug Discovery Methods · computational physics · Computer engineering. Computer hardware · Electronic computers. Computer science · Gaussian Processes and Bayesian Inference · machine learning · Machine Learning in Materials Science · Model Reduction and Neural Networks · neural networks · Neural Networks and Applications · Particle physics theoretical and experimental studies · Quantum Computing Algorithms and Architecture · Quantum many-body systems · reinforcement learning · TK7885-7895
- Country
- GB
- Languages
- EN
- ISSN
- —
- E-ISSN
- 2632-2153
- ISSN-L
- 2632-2153
- Open access
- Yes
- OA since
- 2020
- Publication years
- 2020–2026
- APC (summary)
- —
- Website
- Visit journal ↗
Journal Classification
Classification is derived from this journal’s 2024–2025 publications using the OpenAlex taxonomy.
- Classification
- Field / Subfield
- Primary Field
- Computer Science
- Primary Subfield
- Artificial Intelligence
- Domain
- Physical Sciences
- Confidence
- Low
- Publications classified
- 655
- Classification version
- OAJF Classification v1.1
APC records
- OPENALEX · 2026
- 2,595 EUR
- OPENALEX · 2026
- 2,185 GBP
- OPENALEX · 2026
- 3,000 USD
- DOAJ · 2026
- 3,000 EUR
- DOAJ · 2026
- 2,500 GBP
- DOAJ · 2026
- 3,125 USD
