MétaCan
Menu
Back to cohort
Record W2124176512 · doi:10.1109/ted.2008.2003027

Thermodynamics and Transport Model of Charge Injection in Silicon Irradiated by a Pulsed Focused Laser

2008· article· en· W2124176512 on OpenAlexafffund
Étienne Boulais, Vincent Binet, Jean-Yves Degorce, Graham Wild, Yvon Savaria, Michel Meunier

Bibliographic record

VenueIEEE Transactions on Electron Devices · 2008
Typearticle
Languageen
FieldEngineering
TopicSilicon and Solar Cell Technologies
Canadian institutionsPolytechnique Montréal
FundersCanada Research ChairsCMC Microsystems
KeywordsLaserMaterials scienceLaser power scalingSiliconRing oscillatorOptoelectronicsAtomic physicsPhysicsOptics

Abstract

fetched live from OpenAlex

Focused pulsed visible laser used in laser-trimming technologies such as the laser diffused-resistor process may inject charges in the semiconductor, leading to an interaction with highly sensitive circuits. In order to evaluate the process impact on those circuits, a study of the perturbation on the free-running frequency of a ring oscillator due to a nearby laser pulse has been made. The behavior of this modification as a function of the laser-pulse power exhibits complex features. A thermodynamics and electrical model of the charge injection by a focused pulsed laser on silicon has been developed. First, the laser-induced charge diffusion is calculated by a finite-element-model coupling Boltzmann semiclassical transport and thermodynamic equations; the last one being necessary, as relatively high laser power may increase significantly the local temperature. The result is then fed into an electrical model of the ring oscillator as a perturbation injected by a current source. This model coupled to parasitic-light effects due to geometrical changes during silicon melting is able to explain the oscillator's operation-frequency modification.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.010
GPT teacher head0.195
Teacher spread0.185 · 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 designSimulation or modeling
Domainnot available
GenreEmpirical

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

Citations2
Published2008
Admission routes2
Has abstractyes

Explore more

Same venueIEEE Transactions on Electron DevicesSame topicSilicon and Solar Cell TechnologiesFrench-language works237,207