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Record W4403096160 · doi:10.1021/acs.chemmater.4c02302

Li<sub>3</sub>Sb<sub>7</sub>Se<sub>12</sub>: A Pavonite Homologue with Ultralow Thermal Conductivity

2024· article· en· W4403096160 on OpenAlexaff
Abishek K. Iyer, Shima Shahabfar, Alann P. Au, Hongyao Xie, Anastasia D. Pournara, Christopher Wolverton, Mercouri G. Kanatzidis

Bibliographic record

VenueChemistry of Materials · 2024
Typearticle
Languageen
FieldMaterials Science
TopicCrystal Structures and Properties
Canadian institutionsUniversity of Manitoba
FundersBasic Energy Sciences
KeywordsThermal conductivityMaterials scienceAntimonyConductivityElectrical resistivity and conductivityCrystallographyChemistryPhysicsPhysical chemistryMetallurgyComposite material

Abstract

fetched live from OpenAlex

Lithium-containing semiconductors have applications in solid-state batteries, thermoelectrics, and neutron detectors. Li 3 Sb 7 Se 12 is a new ternary semiconductor isostructural to the mineral benjaminite (Ag 3 Sb 7 S 12 ) crystallizing in monoclinic space group C 2/ m . Benjaminite belongs to the pavonite mineral family with the general formula M n +1 (Bi/Sb) 2 Q n +5 ( n = 0–8), where n is the octahedral building block length consisting of face-sharing octahedra. Li 3 Sb 7 Se 12 belongs to n = 7, and it differs from benjaminite by exhibiting occupancy disorder between Li + and Sb 3+ atoms. It exhibits exceptionally low lattice thermal conductivities of 0.53–0.37 W m –1 K –1 in the temperature range 300–873 K and is a p -type semiconductor. Chemical bonding analysis using DFT calculations indicates that hierarchical bonding and the distorted coordination environment of antimony play a prominent role in its heat transport properties, leading to ultralow lattice thermal conductivity, while selenium dominates the electronic structure near the bandgap.

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 score0.005

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)0.0010.001

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 head0.215
Teacher spread0.200 · 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

Citations10
Published2024
Admission routes1
Has abstractyes

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