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Record W3078236581 · doi:10.1149/09807.0141ecst

Flash Lamp Annealed LTPS TFTs with ITO Bottom-Gate Structures

2020· article· en· W3078236581 on OpenAlexaff
Glenn Packard, Adam Rosenfeld, Robert G. Manley, Karl D. Hirschman

Bibliographic record

VenueECS Transactions · 2020
Typearticle
Languageen
FieldEngineering
TopicThin-Film Transistor Technologies
Canadian institutionsResearch & Development Corporation
Fundersnot available
KeywordsMaterials sciencePassivationOptoelectronicsAnnealing (glass)CrystallizationGate dielectricPolycrystalline siliconThin-film transistorPMOS logicElectrical engineeringNanotechnologyMetallurgyTransistorVoltage

Abstract

fetched live from OpenAlex

A study on bottom-gate PMOS TFTs built on flash lamp annealed polycrystalline silicon is presented. As an alternative to top-gate devices, bottom-gate TFTs offer potential benefits in dielectric-semiconductor interface quality due to process integration details of crystallization and defect passivation. Indium Tin Oxide was used as the gate electrode material due to its attractive optical and electrical properties, thermal stability, and compatibility with the FLA process. Details of an experimental design used to investigate combinations of FLA and furnace annealing for a-Si crystallization and dopant activation processes will be discussed. ITO Bottom-gate TFTs fabricated with FLA crystallization followed by boron ion implantation and furnace activation exhibited superior electrical characteristics in comparison to other treatments. A comparison of electrical characteristics measured on bottom-gate and double-gate devices is used to develop an interpretation of defect effects and provide a qualitative assessment of interface states.

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 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.809
Threshold uncertainty score0.884

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 head0.010
GPT teacher head0.176
Teacher spread0.166 · 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 teacher head, 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

Citations0
Published2020
Admission routes1
Has abstractyes

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