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Journal overview

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

The journal covers a broad spectrum of topics including functional and structural materials, synthesis and processing, theoretical analyses, characterization and properties of materials. Emphasis is placed on the interdisciplinary nature of materials science and issues at the forefront of the field, such as energy and environmental issues, as well as medical and bioengineering applications.

Of particular interest are research papers on the following topics:

  • Materials informatics and materials genomics
  • Materials for 3D printing and additive manufacturing
  • Nanostructured/nanoscale materials and nanodevices
  • Bio-inspired, biomedical, and biological materials; nanomedicine, and novel technologies for clinical and medical applications
  • Materials for energy and environment, next-generation photovoltaics, and green technologies
  • Advanced structural materials, materials for extreme conditions

STAM welcomes high quality original research and review articles, as well as Focus Issue proposals.

Peer Review Policy

All articles in this journal undergo rigorous peer review, based on initial editorial screening and reports by at least two anonymous referees.

All articles will be made freely and permanently available online through gold open access publication.

Read the Instructions for Authors for information on how to submit your article.

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Associated journals

Journal cover image for Science and Technology of Advanced Materials: Methods

Science and Technology of Advanced Materials: Methods

Science and Technology of Advanced Materials: Methods (STAM Methods (STAM-M)) publishes research on emergent methods and tools to improve and/or accelerate materials developments, such as methodology, modeling, high-throughput experimentation, materials informatics (MI), process informatics (PI) , artificial intelligence (AI), and databases.

Open Access