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Record W4401688965 · doi:10.1088/1402-4896/ad70f7

Anti-Wilson mechanism for adjusting bandgap and electronic transport property of a half-Heusler material LiCdP

2024· article· en· W4401688965 on OpenAlexaff
Shuo Zhao, Mingfeng Zhu, Liwei Jiang, Yisong Zheng

Bibliographic record

VenuePhysica Scripta · 2024
Typearticle
Languageen
FieldMaterials Science
TopicHeusler alloys: electronic and magnetic properties
Canadian institutionsMinistry of Education and Child Care
FundersNational Natural Science Foundation of China
KeywordsMechanism (biology)Materials scienceBand gapCondensed matter physicsProperty (philosophy)PhysicsQuantum mechanics

Abstract

fetched live from OpenAlex

Abstract Using first-principles calculations, we have found that LiCdP, an existing half-Heusler material, exhibits an anti-Wilson mechanism for adjusting the bandgap. Specifically, instead of widening according to the conventional Wilson mechanism, the bandgap shows a significant decrease in response to lattice strain, eventually closing at 5.02% tensile strain. This anti-Wilson mechanism is attributed to the weakened repulsion between the 3s and 5s orbitals of the P and Cd atoms, respectively, as observed by the analysis of the neighbouring atomic orbital coupling. In addition, we have found that the ZT value, which measures the thermoelectric efficiency of this material, can reach 1.33 at a temperature of T = 1200 K when lattice strain is induced by thermal expansion. This result suggests that LiCdP is an excellent thermoelectric material in a high operating temperature range. From the point of view of actual applications, such an interesting tunability of the bandgap of LiCdP provides a novel alternative for designing electronic or optoelectronic devices in a controllable way.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

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)0.0030.000

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 head0.015
GPT teacher head0.226
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 designSimulation or modeling
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

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