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Record W1982977592 · doi:10.1080/00150193.2012.684991

Multi-Scale Approach for Designing New Ferroelectric Liquid Crystals with Nonlinear Optical Properties

2012· article· en· W1982977592 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueFerroelectrics · 2012
Typearticle
Languageen
FieldMaterials Science
TopicLiquid Crystal Research Advancements
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsMaterials scienceFerroelectricityNonlinear opticalNonlinear systemPolarScale (ratio)Rational designSeries (stratigraphy)Chemical physicsAb initioStatistical physicsNanotechnologyOptoelectronicsPhysicsQuantum mechanics

Abstract

fetched live from OpenAlex

Macroscopic nonlinear optical (NLO) properties can arise due to the presence of a polar axis in chiral smectic C phases. A specific molecular design, based on a multi-scale approach, is suggested to induce valuable NLO responses. The design actually proceeds through two principal steps. Firstly, at the empirical design stage, one needs to propose a series of molecules with structures which fit the Boulder model. The second step, the rational design, corresponds to the multi-scale approach. ab initio and atomistic simulations are thus used to avoid difficulties in computing the distribution functions required to compare molecular and macroscopic NLO properties.

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.315
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.071
GPT teacher head0.300
Teacher spread0.229 · 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