Solution-based Chemical Strategies to Purposely Control the Microstructure of Functional Materials
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Dr. Dongfeng Xue was born in Henan, China, in 1968. He received his B.Eng. from Henan University in 1993, then worked as a five-year graduate student at Changchun Institute of Applied Chemistry, Chinese Academy of Science. After receiving his Ph.D. degree, in Inorganic Chemistry in 1998, he spent one year as an Alexander von Humboldt research fellow at Fachbereich Physik, Universitaet Osnabruck, Germany. He was a visiting researcher in University of Ottawa (2000–2001), and the JSPS (Japan Society for the Promotion of Science) fellow at National Institute for Materials Science (2001–2003). Since August 2003, he has been a full professor at Department of Materials Science and Chemical Engineering, Dalian University of Technology, China. His research interests include crystallography, crystal growth, structure-property relationship of crystal materials, calculation and simulation of functional materials, and chemical synthesis of condensed matter. He has already published more than 200 scientific papers and more than 100 scientific reports in various national and international journals and conferences. He is a member of the editorial board of Nanoscience and Nanotechnology Letters (American Scientific Publishers).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it