Research advances of magnesium and magnesium alloys worldwide in 2021
Bibliographic record
Abstract
More than 4000 papers in the field of Mg and Mg alloys were published and indexed in Web of Science (WoS) Core Collection database in 2021. The bibliometric analyses indicate that the microstructure, mechanical properties, and corrosion of Mg alloys still are the main research focus. Mg ion batteries and hydrogen storage Mg materials have attracted much attention. Significant contributions to the research and development of magnesium alloys were made by Chongqing University, Shanghai Jiaotong University, and Chinese Academy of Sciences in China, Helmholtz Zentrum Hereon in Germany, Ohio State University in the United States, the University of Queensland in Australia, Kumanto University in Japan, and Seoul National University in Korea, University of Tehran in Iran, etc.. This review is aimed to summarize the progress in the development of structural and functional Mg and Mg alloys in 2021. Based on the issues and challenges identified here, some future research directions are suggested.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.008 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.008 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".