About the journal
AI for Science is an open-access journal published by IOP Publishing in United Kingdom, publishing in english. It is listed in DOAJ according to the sources read. Declared review time at DOAJ: 11 weeks. Facts are reproduced as recorded at their sources with their capture dates; PublishLens indicators are available after sign-in.
Basic facts
- Publisher
- IOP Publishing
- ISSN
- 3050-287X
- Country
- United Kingdom
- Languages
- english
- Access
- Open access
- Articles in DOAJ
- 36
- Declared review time
- 11 weeks
- Declared peer-review model
- double_blind
- Official website
- https://iopscience.iop.org/journal/3050-287X
Index listings
- DOAJ · 2026-03-12
- Indexing
- DOAJ
- APC
- —
- Declared review time (DOAJ)
- 11 weeks — journal-declared only (not measured)
- Activity (OpenAlex)
- Active — latest works 2026
- PublishLens list status
- Shown after sign-in
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- Choose your university and rank below ↓
Methodology signals (dated facts from their sources)
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Descriptive metadata from public sources (DOAJ, OpenAlex, PubMed) as of the capture date shown — contains no assessment or judgment.
Articles in DOAJ
36
Most recent article
last month
Average review time (journal-declared via DOAJ)
11weeks
Works in OpenAlex
32
Last recorded publication year
2026
h-index
4
i10-index
0
From OpenAlex open data (CC0).
Editorial & policy11
- Added to DOAJ
- 2026-03-12
- Declared plagiarism screening
- Declared
- Other fees beyond APC
- No
- Declared digital preservation
- CLOCKSSPortico
- Observed digital preservation (Keepers registry)— snapshot 2026-10-05
- CLOCKSSPortico
- Editorial board
- Official page ↗
- Open references deposited at Crossref
- 97%
- ORCID iDs in current deposits
- 97%
- Enrolled in Crossref Similarity Check
- ✓
- Deposits licence metadata at Crossref
- ✓
- APC waiver policy
- View policy
- Peer-review policy
- View policy
Identity & continuity1
- Source type
- journal
Classification4
Subjects (DOAJ)
LCC codes
Subject areas
- Machine Learning in Materials Science
- Machine Learning in Materials Science
- Advanced Graph Neural Networks
- Computational Drug Discovery Methods
- Advanced Graph Neural Networks
- Scientific Computing and Data Management
- Advanced Chemical Physics Studies
- Protein Structure and Dynamics
Show all subjects (50)
- Neural Networks and Applications
- Computational Drug Discovery Methods
- Metallic Glasses and Amorphous Alloys
- Topology Optimization in Engineering
- Advanced Materials and Mechanics
- Innovations in Concrete and Construction Materials
- Advanced Battery Materials and Technologies
- Block Copolymer Self-Assembly
- Protein Structure and Dynamics
- Neural Networks and Applications
- Scientific Computing and Data Management
- Innovations in Concrete and Construction Materials
- Advanced Materials and Mechanics
- Topology Optimization in Engineering
- Metallic Glasses and Amorphous Alloys
- Advanced Battery Materials and Technologies
- Block Copolymer Self-Assembly
- Topological Materials and Phenomena
- Crystallography and molecular interactions
- Microstructure and mechanical properties
- Electrocatalysts for Energy Conversion
- Data Visualization and Analytics
- Cellular and Composite Structures
- Electrocatalysts for Energy Conversion
- Advanced Electron Microscopy Techniques and Applications
- Metamaterials and Metasurfaces Applications
- Advanced Sensor and Energy Harvesting Materials
- Semiconductor materials and devices
- Cellular and Composite Structures
- Advanced Memory and Neural Computing
- Semiconductor materials and devices
- Gas Sensing Nanomaterials and Sensors
- Advanced Sensor and Energy Harvesting Materials
- Perovskite Materials and Applications
- Perovskite Materials and Applications
- Gas Sensing Nanomaterials and Sensors
- Bioinformatics and Genomic Networks
- Catalytic Processes in Materials Science
- Microstructure and mechanical properties
- Metamaterials and Metasurfaces Applications
- Advanced Chemical Physics Studies
- Catalytic Processes in Materials Science
Keywords (DOAJ)
- ai algorithms
- ai software
- ai toolkits
- ai-ready datasets
- embodied ai
Community confirmations — what users saw in MJL or Scopus Sources; not platform verification and never part of any score.
The journal's record in other sources:Web of Science MJLDOAJ