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Record W618879700 · doi:10.1017/cbo9780511840685

Understanding Modern Transistors and Diodes

2010· book· en· W618879700 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCambridge University Press eBooks · 2010
Typebook
Languageen
FieldEngineering
Topicsolar cell performance optimization
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsDiodeTransistorKey (lock)Computer scienceCapacitanceGraduate studentsElectronic engineeringEngineering physicsElectrical engineeringOptoelectronicsEngineeringMaterials sciencePhysicsSociology

Abstract

fetched live from OpenAlex

Written in a concise, easy-to-read style, this text for senior undergraduate and graduate courses covers all key topics thoroughly. It is also a useful self-study guide for practising engineers who need a complete, up-to-date review of the subject. Key features: • Rigorous theoretical treatment combined with practical detail • A theoretical framework built up systematically from the Schrödinger Wave Equation and the Boltzmann Transport Equation • Covers MOSFETS, HBTs and HJFETS • Uses the PSP model for MOSFETS • Rigorous treatment of device capacitance • Describes the operation of modern, high-performance transistors and diodes • Evaluates the suitability of various transistor types and diodes for specific modern applications • Covers solar cells and LEDs and their potential impact on energy generation and reduction • Includes a chapter on nanotransistors to prepare students and professionals for the future • Provides results of detailed numerical simulations to compare with analytical solutions • End-of-chapter exercises • Online lecture slides for undergraduate and graduate courses

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.398
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.031
GPT teacher head0.167
Teacher spread0.136 · 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