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Record W1596796141

An Undergraduate Course in Modeling and Simulation of Multiphysics Systems

2010· article· en· W1596796141 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

VenueChemical Engineering Education · 2010
Typearticle
Languageen
FieldEngineering
TopicNanotechnology research and applications
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsMultiphysicsCourse (navigation)CurriculumComputer scienceModeling and simulationOdeSoftwareSystems engineeringSoftware engineeringMechanical engineeringSimulationEngineeringFinite element methodAerospace engineeringProgramming languageApplied mathematics
DOInot available

Abstract

fetched live from OpenAlex

An overview of a course on modeling and simulation offered at the Nanotechnology Engineering undergraduate program at the University of Waterloo is presented in this paper. The motivation for having this course in the undergraduate nanotechnology curriculum, the course structure and its learning objectives are discussed. Further, one of the computational laboratories covered in the course, a relatively simple drug release model, is presented in this work. This computational laboratory is designed to expose the students to the modeling and simulation of a macroscopic model, given in the form of an ODE, coupled with one of the boundary conditions of the system’s microscopic behavior, given in the form of a PDE. The implementation of the proposed drug release model is performed in COMSOL, a commercial software application suitable to train students in the modeling and simulation of micro and nano systems.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.394
Threshold uncertainty score0.282

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 head0.007
GPT teacher head0.265
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