Write in a clean editor, then format for Materials Genome Engineering Advances in one click — DocuGuru applies the official Wiley template with author–year references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.
Materials Genome Engineering Advances is a peer-reviewed journal published by Wiley, covering Machine Learning in Materials Science, Additive Manufacturing Materials and Processes, Aluminum Alloy Microstructure Properties.
| Publisher | Wiley |
|---|---|
| Reference style | Author–year (Chicago) Author–year — (Smith, 2023) in the text Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." Materials Genome Engineering Advances 12 (3): 45–58.
Formats any DOI in Materials Genome Engineering Advances style. No sign-up. |
| Publishes research in | Machine Learning in Materials Science Additive Manufacturing Materials and Processes Aluminum Alloy Microstructure Properties High Entropy Alloys Studies Microstructure and Mechanical Properties of Steels |
| ISSN | 2940-9489 |
| Citation impact (2-yr) | 7.2 |
| h-index | 22 |
| i10-index | 45 |
| Total citations | 1,622 |
| Open access | Yes |
| Top institutions publishing here | University of Science and Technology Beijing |
| 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.
Abstract Extensive trial and error in the variable space is the main cause of low efficiency and high cost in material development. The experimental tasks can be reduced significantly in the case that the variable space is narrowed down by reliable computer simulations. Because of their numerous variables in material design, however, the variable space…
Abstract This paper provides a comprehensive overview of the latest stable release of the graphics processing units molecular dynamics (GPUMD) package, GPUMD 4.0. We begin with a brief review of its development history, starting from the initial version. We then discuss the theoretical foundations for the development of the GPUMD package, including the formulations of…
Abstract With the development of new information technology, big data technology and artificial intelligence (AI) have accelerated material research and development and industrial manufacturing, which have become the key technology driving a new wave of global technological revolution and industrial transformation. This review introduces the data resources and databases related to steel materials. It then…
Abstract Materials genome engineering represents the new frontier of materials research, and is disrupting the conventional “trial and error” paradigm for materials innovation. In the present perspective, the author reflects on the major achievements already made in five sub‐domains, including high‐efficiency materials computation and design, revolutionary experimental technologies, materials big data technologies, research and development…
Abstract The emerging photovoltaic (PV) technologies, such as organic and perovskite PVs, have the characteristics of complex compositions and processing, resulting in a large multidimensional parameter space for the development and optimization of the technologies. Traditional manual methods are time‐consuming and labor‐intensive in screening and optimizing material properties. Materials genome engineering (MGE) advances an innovative…
