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Record W1585178202 · doi:10.2172/1041190

Control of New Kinetic Barriers & Design of Nanorods

2012· report· en· W1585178202 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typereport
Languageen
FieldEngineering
TopicSilicon Carbide Semiconductor Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsNanorodNanowireTheme (computing)NanotechnologyNanomaterialsScale (ratio)Engineering physicsMaterials scienceComputer sciencePhysicsWorld Wide WebQuantum mechanics

Abstract

fetched live from OpenAlex

The accomplishments of this project include three elements. The first element directly relates to the focus of this project. Specifically, we have determined the three-dimensional Ehrlich-Schwoebel barriers, with and without surfactants, and two manuscripts in preparation; references refer to the list of journal publications. Further, we have discovered a characteristic length scale - the dimension of atomic islands bounded by multiple-layer surface steps. This discovery has made it possible to understand scientifically why nanorods synthesis is possible at all, will enable science-based design of nanorods, and may impact energy technology through nanomaterials design and synthesis. The second element relates to an exploration - synthesis of nanowires. This exploration is made possible through additional support of a Small Grant Exploratory Research from NSF. Through a combination of atomistic simulations, theories, and experiments, the PI and colleagues have made two contributions to the field. Specifically, they have revealed the physical reason why periodic twins develop during growth of SiC nanowires. Further, they have discovered that SiC nanowire films have an order-of-magnitude higher friction that their macroscopic counterpart, something that has never been reported before. The third elements relates to knowledge dissemination. The PI has co-edited (with Helena van Swygenhoven of PSI) an issue of MRS Bulletin, with the theme of Atomistic Simulations of Mechanics of Nanostructures, co-authored a review article in JOM, and authored a review paper in connection with a Banff workshop series co-sponsored by Canada, US, and Mexico.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.703
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
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 head0.078
GPT teacher head0.279
Teacher spread0.202 · 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.

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
Published2012
Admission routes1
Has abstractyes

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