STAM, an open access journal of materials research
Science and Technology of Advanced Materials (STAM) is the leading open access, international journal for outstanding research articles across all aspects of materials science. Our audience is the international materials community across the disciplines of materials science, physics, chemistry, biology as well as engineering.

Citation metrics
- 6.9 (2024) Impact Factor
- Q1 Impact Factor Best Quartile
- 7.2 (2024) 5 year Impact Factor

Speed / acceptance
- 22 days avg. from acceptance to online publication
- 24% acceptance rate
Latest articles
News
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December 4, 2025
Five young researchers received STAM Young Scientist Award at RPGR2025
Editorial news -
December 2, 2025
STAM Award 2025 announced
Editorial news -
October 9, 2025
2025 Novel Prize in Chemistry: STAM articles collection
Editorial news -
July 8, 2025
Editor’s Choice 2025 (#3)
Editor’s Choice -
July 8, 2025
Editor’s Choice 2025 (#2)
Editor’s Choice
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Berry curvature driven transverse thermoelectric generation in topological magnets -
Rapid homoepitaxial growth of (011) β-Ga2O3 by HCl-based halide vapor phase epitaxy -
CALPHAD-guided interlayer design for crack-free additive manufacturing of copper C18150 – Inconel 625 bimetallic structures -
Improvement of reversible compressibility of ultralight carbon nanotube/carboxymethyl cellulose materials through hydrophobic surface treatment -
Effect of relative density on dynamic mechanical behavior and deformation mechanisms of porous titanium under coupled high-temperature and high-strain-rate conditions -
Capacitive deionisation for water desalination review: experimental and simulation -
Emerging novel hydrogels application in oral and gastrointestinal diseases: design wet adhesive strategy towards possible mechanisms
STAM Methods
STAM Methods First issue!

STAM Methods was launched in January 2021 as a sister magazine of STAM. It is an English language academic journal specializing in methods for accelerating materials research including materials informatics, machine learning, and high-throughput synthesis/characterization. STAM Methods is a gold open access journal like STAM, that can be read by anyone online.
We look forward to your contributions!

