MétaCan
Menu
Back to cohort
Record W4409141349 · doi:10.1021/acsaelm.5c00092

Formation of Ga<sub>2</sub>O<sub>3</sub> and NiO Thin Films at Low Process Temperatures for PN Heterojunction Diodes

2025· article· en· W4409141349 on OpenAlexaff
Heejoong Ryou, Sunjae Kim, Dongbin Kim, Jongsu Baek, Yujin Song, Jung Han Kim, Byung Jin Cho, Hyoung Woo Kim, Wan Sik Hwang

Bibliographic record

VenueACS Applied Electronic Materials · 2025
Typearticle
Languageen
FieldMaterials Science
TopicGa2O3 and related materials
Canadian institutionsKootenay Association for Science & Technology
FundersDefense Acquisition Program AdministrationNational Research Foundation of Korea
KeywordsNon-blocking I/OHeterojunctionMaterials scienceThin filmDiodeOptoelectronicsProcess (computing)NanotechnologyChemistryComputer scienceCatalysisOperating system

Abstract

fetched live from OpenAlex

A heterojunction consisting of n-type Ga 2 O 3 and p-type NiO thin films is fabricated at low process temperatures. This technology offers the potential to improve heterojunction applications with wide bandgap semiconductors on various substrates. Optical bandgap values of 4.67 and 3.62 eV are obtained for the Ga 2 O 3 and NiO semiconductors, respectively, from a Tauc plot. The spontaneously formed depletion region in the heterojunction has capacitive characteristics under thermal equilibrium conditions, while the resistive component is involved in the charge transport under the turn-on voltage ranges. The maximum electric field at the heterojunction interface with 50 nm thick n-Ga 2 O 3 is five times higher than that of the n-Ga 2 O 3 with a thickness of over 400 nm under thermal equilibrium conditions. When the junction thickness becomes shorter than the junction depletion width, the diode suffers from an early breakdown due to the much higher maximum electric field at the PN junction interface.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

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 head0.004
GPT teacher head0.217
Teacher spread0.212 · 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 source (direct Gemma or distilled Codex), 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

Citations1
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueACS Applied Electronic MaterialsSame topicGa2O3 and related materialsFrench-language works237,207