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Record W3125768939 · doi:10.1002/3527606637

Physics of Organic Semiconductors

2005· book· en· W3125768939 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typebook
Languageen
FieldEngineering
TopicMolecular Junctions and Nanostructures
Canadian institutionsnot available
Fundersnot available
KeywordsOrganic semiconductorSemiconductorEngineering physicsPhysicsOptoelectronics

Abstract

fetched live from OpenAlex

Foreword (R.H. Friend) Preface (W. Brutting, C. Adachi) FILM GROWTH, ELECTRONIC STRUCTURE AND INTERFACES 1 Organic molecular beam deposition (F. Schreiber, Tubingen Univ., Germany) 2 Electronic structure of interfaces with conjugated organic materials (N. Koch, HU Berlin, Germany) 3 Electronic structure of molecular solids: Bridge to the electrical conduction (N. Ueno, Chiba Univ., Japan) 4 Interfacial doping for efficient charge injection (J.J. Kim, Seoul National Univ., South Korea) 5 Displacement current measurement for exploring charge carrier dynamics in organic semiconductor devices (Y. Noguchi, Y. Tanaka, Y. Miyazaki, N. Sato, Y. Nakayama, H. Ishii, Chiba Univ., Japan) CHARGE TRANSPORT 6 Effects of Gaussian disorder on charge carrier transport and recombination in organic semiconductors (R. Coehoorn, P.A. Bobbert, Philips Research & Eindhoven Univ. Techn., The Netherlands) 7 Charge transport physics of high mobility molecular semiconductors (H. Sirringhaus, T. Sakanoue, J.-F. Chang, Univ. Cambridge, U.K.) 8 Ambipolar charge carrier transport in molecular field-effect transistors (A. Opitz, W. Brutting, Augsburg Univ., Germany) 9 Organic magnetoresistance (M. Wohlgenannt, Univ. Iowa, U.S.A.) PHOTOPHYSICS 10 Excitons at polymer interfaces (N. Greenham, Univ. Cambridge, U.K.) 11 Electronic processes at organic semiconductor heterojunctions: The mechanism of exciton dissociation in semicrystalline solid-state microstructures (F. Paquin, G. Latini, M. Sakowicz, P.-L. Karsenti, L. Wang, D. Beljonne, N. Stingelin, C. Silva, Univ. Montreal, Canada & Imperial College London, U.K.) 12 Recent progress in the understanding of exciton dynamics within phosphorescentOLEDs (S. Reineke, M. Baldo, MIT, U.S.A.) 13 Organometallic Emitters for OLEDs. Triplet Harvesting, Singlet Harvesting, Case Structures, and Trends (H. Yersin, Regensburg Univ., Germany) DEVICE PHYSICS 14 Doping of organic semiconductors (B. Lussem, M. Riede, K. Leo, Dresden Univ., Germany) 15 Device efficiency of organic LEDs (W. Brutting, J. Frischeisen, Augsburg Univ., Germany) 16 Light outcoupling in organic LEDs (C.-H. Tsai, C.-C. Wu, National Taiwan Univ., Taiwan) 17 Photogeneration and Recombination in Polymer Solar Cells (C. Deibel, A. Baumann, V. Dyakonov, Wurzburg Univ., Germany) 18 Light-emitting organic crystal field-effect transistors for future organic injection lasers (H. Nakanotani, C. Adachi, Kyushu Univ., Japan)

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.087
Threshold uncertainty score0.291

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0870.050

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.

Opus teacher head0.006
GPT teacher head0.177
Teacher spread0.172 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations516
Published2005
Admission routes1
Has abstractyes

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