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Record W4414070034 · doi:10.4028/p-7bd8tb

Rapid Thermal Anneal with Conductive Heating for SiC Contact Formation

2025· article· en· W4414070034 on OpenAlexaff
Xavier Llimona i Pagès, Jeppe Oterdoom, M. Steltenpool, В. В. Кузнецов, Jaap Beijersbergen, S. Kerdilès

Bibliographic record

VenueMaterials science forum · 2025
Typearticle
Languageen
FieldEngineering
TopicSilicon Carbide Semiconductor Technologies
Canadian institutionsSemtech (Canada)
Fundersnot available
KeywordsWaferThermal conductionRapid thermal processingSilicideElectrical conductorThermalSilicon carbideSilicon

Abstract

fetched live from OpenAlex

This paper explains the potential of a heat conduction based RTA (Rapid Thermal Anneal) system (Levo) to overcome the main shortcomings of conventional lamp heated tools systems for silicide top contact anneal during SiC MOSFET device fabrication. The advantage of conductive heating is that the radiation-related properties, like transparency of the wafer, does not play a role, and consequently, that the whole rapid thermal anneal becomes independent of wafer type. In this study SiC wafers and Si wafers (both 200mm) were annealed consecutively without any system adjustment. The silicon wafers were used to qualify the process (contamination / within-wafer uniformity and wafer-to-wafer repeatability).

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 score0.005
Threshold uncertainty score0.458

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 communication0.0000.001
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 head0.014
GPT teacher head0.238
Teacher spread0.224 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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