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AI for Science

IOP Publishing · United Kingdom

eISSN3050-287X

✓ DOAJ✓ Open Access

/ 100

High Risk

Score Breakdown

✓ DOAJ Verified+15

Total15

Aims & Scope✦ Inferred from recent articles

AI for Science focuses on the application of machine learning and artificial intelligence to scientific research, particularly in materials science, chemistry, and physics. The journal features work on developing and applying machine learning models for molecular design, predicting material properties, understanding chemical reactions, and accelerating scientific discovery through data-driven approaches. Topics include machine learning force fields, representation learning for atomic structures, and AI-driven optimization for material synthesis and property prediction.

AI-summarised from recent articles · verify on publisher page →

General Information

Country / RegionUnited Kingdom

Primary LanguageEnglish

1st Year Published—

StatusActive

Total Publications—

Visit Journal Website

Submission Info

Peer ReviewDouble anonymous peer review

Review Time—

Acceptance Rate—

OA LicenseCC BY

OA Rate—

Ethics & Quality

COPE Member✗ No

OASPA Member✗ No

Not on Predatory Lists✓ Yes

Think.Check.Submit Compliance

thinkchecksubmit.org

8/12 · 67%

✅

Do you know the journal / publisher?

IOP Publishing

✅

Does the journal have a website?

✓ Linked

✅

Is the ISSN verified?

3050-287X

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Indexed in a trusted database?

DOAJ

✅

Peer review process documented?

Double anonymous peer review

❌

Follows ethical publishing standards (COPE)?

N/A

❌

APC fees clearly disclosed?

N/A

✅

Not on predatory/blacklists?

✓ Clean

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Long-term digital preservation?

N/A

❌

Plagiarism detection in place?

N/A

✅

Listed in DOAJ (verified OA)?

DOAJ verified

✅

Primary language documented?

English

Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.

Subject Classification

Research Topics (OpenAlex)

Machine Learning in Materials ScienceProtein Structure and DynamicsComputational Drug Discovery MethodsAdvanced Battery Materials and TechnologiesNeural Networks and ApplicationsMetallic Glasses and Amorphous AlloysTopology Optimization in EngineeringAdvanced Graph Neural NetworksBlock Copolymer Self-AssemblyAdvanced Materials and Mechanics