MétaCan
Menu
Back to cohort
Record W2075923780 · doi:10.1021/jp711925b

Shape-Controlled Synthesis of Poly(styrene sulfonate) and Poly(vinyl pyrolidone) Capped Lead Sulfide Nanocubes, Bars, and Threads

2008· article· en· W2075923780 on OpenAlexaff
Mandeep Singh Bakshi, Gurinder Kaur, Fred Possmayer, Nils O. Petersen

Bibliographic record

VenueThe Journal of Physical Chemistry C · 2008
Typearticle
Languageen
FieldMaterials Science
TopicQuantum Dots Synthesis And Properties
Canadian institutionsNational Institute for NanotechnologyWestern University
Fundersnot available
KeywordsSulfonatePolyelectrolyteStyreneAqueous solutionMaterials scienceChemical engineeringMorphology (biology)SulfideSodium sulfideNanocrystalPolymerSalt (chemistry)Polymer chemistryAdsorptionLead sulfideCopolymerSodiumNanotechnologyChemistryInorganic chemistryOrganic chemistryComposite material

Abstract

fetched live from OpenAlex

Lead sulfide nanocrystals (NCs) along with nanothreads and nanosheets were synthesized in the presence of water soluble polymers such as poly(styrene sulfonate) sodium salt (PSS) and poly(vinyl pyrolidone) (PVP) in aqueous phases at relatively mild temperature of 80 °C. The amount of each polyelectrolyte was systematically varied between 1 and 4 mM (monomolar based). The presence of PSS produced roughly cubic geometries at low concentrations, while nanothreads and nanosheets were produced at high concentrations. This was not so in the presence of equivalent amounts of PVP, where only fine cubes and nanobars were obtained. The shape and structure of all kinds of geometries were characterized by TEM, FESEM, EDX, and XRD analyses. All results demonstrated that the different preferential adsorption of polyelectrolyte PSS and neutral PVP for different crystal planes of the fcc geometry of PbS controlled the final morphology.

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)0.001
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 score0.009
Threshold uncertainty score0.576

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.220
Teacher spread0.205 · 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

Citations23
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueThe Journal of Physical Chemistry CSame topicQuantum Dots Synthesis And PropertiesFrench-language works237,207