18th International Conference on Textures of Materials (ICOTOM-18)
Bibliographic record
Abstract
Preface The 18th International Conference on Textures of Materials (ICOTOM 18) took place in St George, Utah, USA, November 5-10, 2017. ICOTOM-18 follows in the long “triennial” tradition of ICOTOM meetings initiated in 1969 in Clausthal, Germany and followed with: Cracow (1971), Pont-à-Mousson (1973), Cambridge (1975), Aachen (1978), Tokyo (1981), Noordwijkerhout (1984), Santa Fe (1987), Avignon (1990), Clausthal (1993), Xian (1996), Montreal (1999), Seoul (2002), Leuven (2005), Pittsburgh (2008), Mumbai (2011), Dresden (2014). ICOTOM-18 continued the fine scientific tradition of previous ICOTOMs fostering the fundamental understanding of the basic processes underlying the formation of texture and its relation to the anisotropic properties of polycrystalline materials. One of the motivating factors for holding ICOTOM in Utah was the long-standing contributions of Professor Brent L. Adams to the texture community. Professor Adam’s spent much of his life and professional career in Utah. Brent’s work in linking crystallographic orientation to microstructure led to the automation of Electron Backscatter Diffraction or EBSD, with seminal journal papers appearing 25 years before ICOTOM 18. The entire texture community has been instrumental in the incubation of this technology and the continued cultivation of both its development and application. With EBSD and other techniques providing textural information from the nano to the macro scale, our understanding of the links between the local orientation and texture evolution and material properties continues to grow. ICOTOM-18 provided a forum for both materials scientists and geologists to engage in the discussion of recent progress in texture and anisotropy research.
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.
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 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.012 | 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".