Science and Technology of Advanced Materials: Methods
Taylor & Francis Group · United Kingdom · Est. 2021
Aims & Scope✦ Inferred from recent articles
This journal focuses on the application of computational methods, including machine learning, artificial intelligence, and simulation techniques, to materials science research. It covers the development and application of these methods for predicting material properties, analyzing experimental data, and accelerating materials discovery and design. Specific areas include the use of neural networks for potential development, Bayesian frameworks for data analysis, phase-field modeling, and the integration of large language models for workflow automation and material screening. The journal also addresses data management and reproducibility in materials informatics.
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