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Record W2027739570 · doi:10.1063/1.3072698

Physical and optoelectronic characterization of reactively sputtered molybdenum-silicon-nitride alloy metal gate electrodes

2009· article· en· W2027739570 on OpenAlexaff
Pommy Patel, M.P. Nadesalingam, Robert M. Wallace, D. A. Buchanan

Bibliographic record

VenueJournal of Applied Physics · 2009
Typearticle
Languageen
FieldEngineering
TopicSemiconductor materials and devices
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsWork functionMaterials scienceX-ray photoelectron spectroscopyMetal gateAnalytical Chemistry (journal)Silicon nitrideGate dielectricSheet resistanceNitrideSiliconOptoelectronicsTantalum nitrideNitrogenTransistorGate oxideNanotechnologyVoltageChemistryThin filmElectrical engineeringLayer (electronics)Nuclear magnetic resonance

Abstract

fetched live from OpenAlex

With continued transistor scaling, work function tuning of metal gates has become important for advanced complementary-metal-oxide-silicon applications. The work function tuning of reactively sputtered MoxSiyNz (also referred to as MoSiN) gates has been studied through the incorporation of nitrogen. The nitrogen concentration in the MoSiN films was altered by controlling the gas flow ratio, RN=N2/(N2+Ar), during gate deposition. The sheet resistance (Rs) of blanket MoSiN films, measured using four-point resistance method, was found to increase as the gas flow ratio was varied from 10% to 40%. Current-voltage measurements confirmed excellent electrical stability of MoSiN/SiO2/p-Si gate stack for applied electric fields ranging up to 6 MV/cm. High frequency capacitance-voltage measurements were used to extract the MoSiN work function (Φm) using the relationship between the flatband voltage (VFB) and the oxide thickness (tox). The extracted MoSiN/SiO2 interfacial barrier heights, obtained through the internal photoemission of electrons, were used to corroborate the extracted values of MoSiN work function. The MoSiN work functions (Φm), extracted independently using both techniques, were consistent and were observed to decrease with increasing gas flow ratio [N2/(N2+Ar)]. Secondary ion mass spectrometry depth analysis revealed uniform distribution of nitrogen throughout the bulk MoSiN films, with no piling up at gate-dielectric interface. X-ray photoelectron spectroscopy surface analysis suggested a steady increase in the Mo–N bonds, and therefore the total nitrogen concentration (from ∼20% to 32%), as the gas flow ratio is increased from 10% to 40%. A similar trend was observed in the nitrogen concentration (in percent), measured using Rutherford backscattering spectroscopy, for these gate deposition conditions. These material characterization results demonstrate that the increase in nitrogen concentration in MoSiN films is consistent with the lowering of MoSiN work function. Moreover, the work function of reactively sputtered MoxSiyNz films was found to be variable over ∼0.3 eV by adjusting the nitrogen concentration.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.566

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 integrity0.0000.000
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 head0.007
GPT teacher head0.211
Teacher spread0.204 · 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 designBench or experimental
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

Citations5
Published2009
Admission routes1
Has abstractyes

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