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Record W4414055930 · doi:10.1016/j.cej.2025.168246

Waves beneath the surface: Analytical solutions for oscillatory mass and energy transport in spherical domains

2025· article· en· W4414055930 on OpenAlexaff
Mohammed Al-Khayyat, Arash Alizadeh, João B. P. Soares

Bibliographic record

VenueChemical Engineering Journal · 2025
Typearticle
Languageen
FieldPhysics and Astronomy
TopicExperimental and Theoretical Physics Studies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsDimensionless quantityAmplitudeBoundary (topology)Boundary value problemMass transferPhase (matter)ScalingHeat transfer

Abstract

fetched live from OpenAlex

Many chemical engineering problems require the solution of time-dependent mass and heat transfer equations in spherical coordinates. Even though analytical solutions for a variety of these problems subjected to fixed boundary conditions are available in the literature, no analytical solution exists for spherical particles exposed to periodic boundary conditions that may arise from oscillating concentrations and temperatures. While numerical methods can be used to solve the constitutive equations describing these dynamic systems, they often obscure important underlying phenomena—such as phase shifts and amplitude decay—that regulate these processes. To address this gap, we derived a universal analytical solution for mass or heat transport in spherical particles subjected to sinusoidal dynamic surface boundary conditions. Our formulation captures both amplitude decay and phase shift in elegant analytical solutions and offers deeper insights into the mechanisms of dynamic transport phenomena under oscillatory surface boundary conditions.

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)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.004
Scholarly communication0.0030.003
Open science0.0020.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.005
GPT teacher head0.214
Teacher spread0.209 · 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 designTheoretical or conceptual
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

Citations1
Published2025
Admission routes1
Has abstractno

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