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Record W2060296114 · doi:10.1109/iedm.2008.4796774

Gate length scaling and high drive currents enabled for high performance SOI technology using high-κ/metal gate

2008· article· en· W2060296114 on OpenAlexaff
K. Henson, H. Bu, Mulun Na, Yongchun Liang, U. Kwon, Siddarth Krishnan, J. Schaeffer, Rashmi Jha, N. Moumen, Rene K. Carter, C. DeWan, R. A. Donaton, Dechao Guo, M. Hargrove, Wei He, R. Mo, Rahul Ramachandran, Karthik Ramani, K. Schonenberg, Parker Y. L. Tsang, X. Wang, M. Gribelyuk, W. Yan, J. Shepard, E. Cartier, Martin M. Frank, Eric C. Harley, R. A. Arndt, R. Knarr, T. C. Bailey, B. Zhang, Keith H.K. Wong, Troy Graves-Abe, E. Luckowski, D.-G. Park, Vijay Narayanan, M. Chudzik, Mukesh Khare

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicSemiconductor materials and devices
Canadian institutionsAdvanced Micro Devices (Canada)
Fundersnot available
KeywordsMetal gateMaterials scienceCMOSSilicon on insulatorOptoelectronicsScalingHigh-κ dielectricScalabilityElectrical engineeringLogic gateTransistorMOSFETGate oxideElectronic engineeringVoltageEngineeringComputer scienceSiliconDielectric

Abstract

fetched live from OpenAlex

CMOS devices with high-k/metal gate stacks have been fabricated using a gate-first process flow and conventional stressors at gate lengths of 25 nm, highlighting the scalability of this approach for high performance SOI CMOS technology. AC drive currents of 1630muA/mum and 1190muA/mum have been demonstrated in 45 nm ground-rules at 1V and 200nA/mum off current for nFETs and pFETs, at a Tinv of 14 and 15 respectively. The drive currents were achieved using a simplified high-k/metal gate integration scheme with embedded SiGe and dual stress liners (DSL) and without utilizing additional stress enhancers. Devices have been fabricated with Tinv's down to 12 and 10.5 demonstrating the scalability of this approach for 32 nm and beyond.

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 score0.101
Threshold uncertainty score0.867

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 head0.019
GPT teacher head0.218
Teacher spread0.199 · 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

Citations16
Published2008
Admission routes1
Has abstractyes

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