Surface micro and nano materials: Twenty years of innovation, collaboration, and translation at Xuchang University
Bibliographic record
Abstract
we are delighted to celebrate the 20th anniversary of the Institute of Surface Micro and Nano Materials (ISMNM) at Xuchang University-a milestone that marks two decades of pioneering research, interdisciplinary collaboration, and impactful translation in the field of micro and nano materials.This special issue, featuring 94 cutting-edge papers from global researchers, not only honors the institute's legacy but also reflects the vibrant, rapidly evolving landscape of surface micro and nano materials science and engineering.Since its establishment in November 1 st , 2005, ISMNM has emerged as a cornerstone of nano research in Henan, China and beyond.From its early days as one of the nation's pioneering institutions dedicated to nanoscience, the institute has continuously expanded its horizons: establishing international joint laboratories with Canada's University of Western Ontario (2007) and Shanghai JiaoTong University (2008), Key Laboratory of Micro-Nano Energy Storage and Conversion Materials of Henan Province (2012), International Joint Laboratory of Nano Energy and Catalytic Materials of Henan Province (2017), and integrating with interdisciplinary academic units to form the College of Chemical and Materials Engineering (2020).In past ten years, ISMNM has been awarded 20+ national and provincial-level teaching and technological achievement awards.These milestones are not mere markers of growth-They embody ISMNM's core mission: to bridge fundamental nanoscience with real-world challenges in energy, environment, and life health.Over 20 years, ISMNM has built a dynamic ecosystem of innovation.Its team of 86 researchers-including 11 professors, 22 associate professors, and 76 PhDs-has been joined by 30+ scholars holding provincial and national honors, supported by 5 elite provincial teams (including a Huang Danian-style Teacher Team).Guided by an academic committee led by Academician Junhao Chu (Chinese Academy of Sciences) and featuring 20+ renowned experts, the institute has fostered an environment of "openness, freedom, collaboration, and inclusivity"-a ethos that has attracted
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How this classification was reachedexpand
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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".