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Science and Technology of Advanced Materials Methods is a peer-reviewed journal published by Taylor & Francis, covering Machine Learning in Materials Science, X-ray Diffraction in Crystallography, Computational Drug Discovery Methods.
| Publisher | Taylor & Francis |
|---|---|
| Reference style | Author–year (Chicago, T&F) Author–year — (Smith, 2023) in the text Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." Science and Technology of Advanced Materials Methods 12 (3): 45–58.
Formats any DOI in Science and Technology of Advanced Materials Methods style. No sign-up. |
| Publishes research in | Machine Learning in Materials Science X-ray Diffraction in Crystallography Computational Drug Discovery Methods Electron and X-Ray Spectroscopy Techniques Advanced Materials Characterization Techniques |
| ISSN | 2766-0400 |
| Citation impact (2-yr) | 4.28 |
| h-index | 15 |
| i10-index | 29 |
| Total citations | 1,207 |
| Article processing charge | $800 |
| Open access | Yes |
| Top institutions publishing here | National Institute for Materials Science |
| Journal website | www.tandfonline.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
A computer algorithm to search the symmetries of crystal structures, as implemented in the spglib code, is described. An iterative algorithm is employed to robustly identify space group types, tolerating a certain amount of distortion in the crystal structures. The source code is distributed under the 3-Clause BSD License, a permissive open-source software license. This…
Main modern approaches to the topological representation of crystal structures of different chemical classes are overviewed. The problem of automated generation and analysis of such representations is discussed, and a new free web service is presented, which enables the user to describe topological features of crystal structures of any complexity and chemical composition in a…
We have developed an open-source software called CrySPY, which is a crystal structure prediction tool written in Python 3, and runs on Unix/Linux platforms. CrySPY enables anyone to easily perform crystal structure prediction simulations for materials discovery and design, and automates structure generation, structure optimization, energy evaluation, and efficiently selecting candidates using machine learning. Several…
This paper evaluates the capabilities and limitations of the Generative Pre-trained Transformer 4 (GPT-4) in chemical research. Although GPT-4 exhibits remarkable proficiencies, it is evident that the quality of input data significantly affects its performance. We explore GPT-4’s potential in chemical tasks, such as foundational chemistry knowledge, cheminformatics, data analysis, problem prediction, and proposal abilities.…
