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
- 7.4 (2023) Impact Factor
- Q1 Impact Factor Best Quartile
- 7.8 (2023) 5 year Impact Factor

Speed / acceptance
- 23 days avg. from acceptance to online publication
- 24% acceptance rate
Latest articles
News
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April 15, 2025
<New APC-free campaign launched> Open Science for All!
Journal News -
March 18, 2025
STAM Awards 2024 announced
Editorial news -
January 28, 2025
Editor’s Choice 2025 (#1)
Editor’s Choice -
December 24, 2024
2 young researchers received STAM Young Scientist Award at Gel Symposium 2024
Editorial news -
November 13, 2024
7 students received STAM Young Scientist Award at SACSEM 10th
Editorial news
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NO tablet: autonomous generation of therapeutic nitric oxide in air through redox-promoted CO2 adsorption
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Durable superhydrophobic surfaces on 3D-Printed structures inspired by beehive architecture
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Development and evaluation of a self-assembled nanoparticle-based prodrug for sustained delivery of 4-phenylbutyric acid
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Molecular design of dynamically thermoresponsive biomaterials
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Electroactive soft actuators utilizing PEDOT:PSS and 3D lithium-ion-conducting phosphate columnar liquid crystals embedded in a porous polyethylene membrane
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One-dimensional photonic crystal structure enhanced external-magnetic-field-free spintronic terahertz high-field emitter
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Enhancement of photocatalytic efficiency of copper oxide/zinc oxide-montmorillonite photocatalyst under visible light irradiation
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!