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Record W2971661245 · doi:10.1021/jacs.9b06794

Pressure-Induced Superconductivity and Flattened Se<sub>6</sub>Rings in the Wide Band Gap Semiconductor Cu<sub>2</sub>I<sub>2</sub>Se<sub>6</sub>

2019· article· en· W2971661245 on OpenAlexfundno aff
Weizhao Cai, Wenwen Lin, Longhua Li, Christos D. Malliakas, Rong Zhang, Matthew Groesbeck, Jin‐Ke Bao, Dongzhou Zhang, Eran Sterer, Mercouri G. Kanatzidis, Shanti Deemyad

Bibliographic record

VenueJournal of the American Chemical Society · 2019
Typearticle
Languageen
FieldMaterials Science
TopicIron-based superconductors research
Canadian institutionsnot available
FundersBasic Energy SciencesUniversity of Saskatchewan
KeywordsSuperconductivityCondensed matter physicsChemistryAnisotropyCuprateLattice (music)SemiconductorFermi levelBand gapPlanarElectronic band structureCrystallographyPhysicsElectron

Abstract

fetched live from OpenAlex

The two major classes of unconventional superconductors, cuprates and Fe-based superconductors, have magnetic parent compounds, are layered, and generally feature square-lattice symmetry. We report the discovery of pressure-induced superconductivity in a nonmagnetic and wide band gap 1.95 eV semiconductor, Cu 2 I 2 Se 6, with a unique anisotropic structure composed of two types of distinct molecules: Se 6 rings and Cu 2 I 2 dimers, which are linked in a three-dimensional framework. Cu 2 I 2 Se 6 exhibits a concurrent pressure-induced metallization and superconductivity at ∼21.0 GPa with critical temperature ( T c ) of ∼2.8 K. The T c monotonically increases within the range of our study reaching ∼9.0 K around 41.0 GPa. These observations coincide with unprecedented chair-to-planar conformational changes of Se 6 rings, an abrupt decrease along the c -axis, and negative compression within the ab plane during the phase transition. DFT calculations demonstrate that the flattened Se 6 rings within the CuSe layer create a high density of states at the Fermi level. The unique structural features of Cu 2 I 2 Se 6 imply that superconductivity may emerge in anisotropic Cu-containing materials without square-lattice geometry and magnetic order in the parent compound.

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 score0.003

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 head0.023
GPT teacher head0.269
Teacher spread0.245 · 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

Citations16
Published2019
Admission routes1
Has abstractyes

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Same venueJournal of the American Chemical SocietySame topicIron-based superconductors researchFrench-language works237,207