Preface: Optical, Optoelectronic and Photonic Materials and Applications
Bibliographic record
Abstract
Abstract The Fifth International Conference on Optical, Optoelectronic and Photonic Materials and Applications (ICOOPMA 2012) was held at the Nara Prefectural New Public Hall, Nara, Japan from June 3 to 7, 2012. The conference was one of the series of previous four international conferences, the first of which was held in Darwin, Australia, in 2006. ICOOPMA 2007, 2008 and 2010 were held in London, UK (2007), Edmonton, Canada (2008), and Budapest, Hungary (2010), respectively. The scope of the conference covered a wide range of materials and applications in optics, optoelectronics and photonics. By tradition, the conference has a large number of invited papers from top researchers in various fields to review recent advances and bring the audience up‐to‐date. The topics emphasized were: Electro‐optic properties and applications, excitonic processes, experimental techniques, light emitting devices, luminescence, phosphors, scintillators and applications, materials for optoelectronics and photonics, modeling and simulation, nano‐optoelectronics and photonics, nonlinear optical properties and applications, optoelectronic and photonic devices, optical components for telecommunication, optical fibers, optical storage, photoconductivity, photoinduced effects, photovoltaic materials and devices, plasmons and surface plasmons, and terahertz materials, devices and techniques. The scientific program of the conference consisted of 4 plenary talks, 60 invited talks, 67 oral presentations and 161 poster presentations. The conference provided a major opportunity to learn much from all of the presentations. This has, undoubtedly, encouraged the invaluable cross‐fertilization of ideas from different areas. In addition, it provided an occasion for the younger members of the community to meet with some of its leading figures; and for them to learn from each other. There were also valuable opportunities for participants to meet and hold informal discussions in the beautiful and historical atmosphere at the ancient capital of Japan. An indication of the depth and breadth of scientific content that was presented and discussed at the conference can be found in this special issue. We hope that its readers will gain as much pleasure and benefit from this as those who were privileged to participate in this unique conference. Finally, we would like to express our sincere thanks to the members of the Organizing Committee, the International Program Committee, the International Advisory Committee and the Steering Committee of this conference. Especially, we thank Professors Safa Kasap, Koichi Shimakawa, Jai Singh and Sandor Kugler for their valuable advice and suggestions during the preparation of the conference. We also wish to thank all of those institutions and companies who by their invaluable support and sponsorship made this conference possible: Commemorative Organization for the Japan World Exposition (1970), Japan Society for the Promotion of Science, Nara Visitors Bureau, Support Center for Advanced Telecommunications Technology Research, Research Group on Photoelectronics of Disordered Materials (The Japan Society of Applied Physics), The Chemical Society of Japan, The Institute of Electrical Engineers of Japan, The Japan Society of Applied Physics, The Physical Society of Japan, The Society of Polymer Science, Japan, Division of Molecular Electronics and Bioelectronics (The Japan Society of Applied Physics), American Elements, Applied Materials, Asahi Spectra, Coherent, Hamamatsu Photonics, Japan Laser, Kodansha Scientific, NF Corporation, Niki Glass, Silvaco, THORLABS, Tokyo Electron, Tokyo Instruments, TOYO Corporation, Wave Front, Wiley‐Blackwell, and WITec.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.126 | 0.069 |
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".