MétaCan
Menu
Back to cohort

Atomic-level Mapping of Cd0.9Zn0.1Te Crystals

2024· article· en· W4402833469 on OpenAlexaff
Guillaume Nadal, Oussama Moutanabbir, S. Koelling, Éloïse Rahier, L. Montpetit, Sudarshan Singh

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced Semiconductor Detectors and Materials
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsMaterials scienceComputer sciencePhysics

Abstract

fetched live from OpenAlex

The presence of precipitates in the Cd\textsubscript{0.9}Zn\textsubscript{0.1}Te (CZT) semiconductors can play a key role in shaping the performance of CZT-based detectors. These precipitates range from nanometers to tens of nanometers, as it has been extensively reported in literature using transmission electron microscopy. Herein, we introduce laser-assisted atom probe tomography (APT) to map in atom-by-atom basis the three-dimensional of CZT crystals. The investigated crystals were grown by Travelling Heater Method. APT is an ideal method to investigate the distribution and local composition of individual precipitates. Our investigations focused on both as-grown CZT crystals and post-growth annealed crystals. APT specimens were prepared using a Focus Ion Beam (FIB) with Gallium ions. The preservation of the crystal structure was verified after FIB preparation by electron backscatter diffraction (EBSD). First APT results show no precipitation of Tellurium or Cadmium at the nanoscale. The structural integrity of the investigated CZT crystals has therefore been confirmed showing that homogeneous CZT structure down to the sub-nanometerscale on the scale of the micrometer-sized volumes APT explores.

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 score0.043
Threshold uncertainty score0.753

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)0.0010.000

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 head0.029
GPT teacher head0.238
Teacher spread0.209 · 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
Published2024
Admission routes1
Has abstractyes

Explore more

Same topicAdvanced Semiconductor Detectors and MaterialsFrench-language works237,207