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Record W2024643784 · doi:10.1021/jp004317x

Phase Synchronization of Nonidentical Light-Sensitive Belousov−Zhabotinsky Systems Induced by Variability in a High−Low Illumination Program

2001· article· en· W2024643784 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

VenueThe Journal of Physical Chemistry A · 2001
Typearticle
Languageen
FieldComputer Science
TopicNonlinear Dynamics and Pattern Formation
Canadian institutionsUniversity of Lethbridge
Fundersnot available
KeywordsAttractorPhase synchronizationSynchronization (alternating current)Synchronization of chaosStatistical physicsNoise (video)GaussianPhysicsControl theory (sociology)Gaussian noiseInvariant (physics)Control of chaosPhase (matter)MathematicsTopology (electrical circuits)Mathematical analysisComputer scienceQuantum mechanicsAlgorithm

Abstract

fetched live from OpenAlex

Phase synchronization of two systems with different dynamical parameters driven by a common external signal is studied using a model of the photosensitive Belousov−Zhabotinsky reaction. Complex dynamics, including chaos, arise when the external light intensity is periodically switched between two levels. Two dynamical conditions are investigated here: (a) the two systems are driven between two limit cycles and (b) both systems are driven between excitable and oscillatory states. Phase synchronization is achieved with both Gaussian-distributed and dichotomous noise when the random variation is added to the duration of the periodic forcing. In the case that noise is added to the intensity of the periodic forcing, perfect phase synchronization is achieved with dichotomous noise, whereas only transient synchronization is observed with Gaussian-distributed random variation. Studies with correlated noise show that the compound system may have two attractors, one corresponding to the phase synchronized state and one to unsynchronized oscillations (lag-synchronized or chaotic, depending on the parameters). This suggests that transient synchronization is due to noise-induced transitions between the synchronized attractor and the neighborhood of a second invariant set which may in some cases also be an attractor. The synchronization mechanism is also studied using a return map.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.897
Threshold uncertainty score0.291

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.006
GPT teacher head0.256
Teacher spread0.250 · 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