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Record W4409324840 · doi:10.1063/4.0000601

Exploration of Solid-State Reaction Kinetics: An <i>in-situ</i> Challenge

2025· article· en· W4409324840 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

VenueStructural Dynamics · 2025
Typearticle
Languageen
FieldMaterials Science
TopicThermal and Kinetic Analysis
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsKineticsSolid-stateIn situChemical kineticsMaterials scienceComputer scienceChemistryPhysical chemistryPhysicsOrganic chemistry

Abstract

fetched live from OpenAlex

Following the evolution of cation ordering and disordering during solid-state reactions provides important insights into solid- state reactivity. In-situ powder diffraction methods are often the tool of choice when investigating solid-state reactions and even permit targeting specific structures by changing reaction conditions based on real-time structure information. In order to advance the understanding of manipulating crystalline structures we need to turn to time dependent studies and possibly extract kinetic information. Principally reaction kinetics are also domain size dependent, however for slow reactions this might be of minor impact and therefore there are classes of reactions and reaction conditions that are largely structure dependent. This presentation will contrast a few examples of solid-state reactivities that are either a function of structure or domain sizes and possibly follow domain size growth rates.

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)0.000
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 score0.454
Threshold uncertainty score0.348

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.012
GPT teacher head0.271
Teacher spread0.258 · 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