Science and Technology of Advanced Materials: Methods (STAM Methods (STAM-M) ) is a peer-reviewed open-access journal for the publication of high-quality original research and reviews describing significant advances in methods and tools associated with materials science.
With the goal to improve and accelerate the discovery and applications of materials, STAM-M provides a platform for disseminating the latest information on developments in emerging methods and tools relevant to materials research to encourage real-world applications of data-driven methodology and computational approaches for materials design, analysis, and processing. The journal is aimed at a broad audience of researchers in academia and industry who are actively involved in materials science, especially from the viewpoint of instrumentation, informatics, and computer science, thereby facilitating interdisciplinary communication that often generates new challenges, which in turn spur further the development of advanced methods and tools.
Specific areas of interest include, but are not limited to:
- Methodology, apparatus
- Modeling and simulation
- High throughput experimentation, instrumentation, and calculation
- AI, machine learning, data-driven analysis
- Data mining, high throughput screening
- Computer systems and services
- Databases
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