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Record W1673183136 · doi:10.1002/14356007.o21_o01

Polymerization Processes, 2. Modeling of Processes and Reactors

2011· other· en· W1673183136 on OpenAlexaff
A. E. Hamielec, Hidetaka Tobita

Bibliographic record

VenueUllmann's Encyclopedia of Industrial Chemistry · 2011
Typeother
Languageen
FieldMaterials Science
TopicPolymer Science and PVC
Canadian institutionsMcMaster University
Fundersnot available
KeywordsPrecipitation polymerizationPolymerizationChain-growth polymerizationKinetic chain lengthChain transferEmulsion polymerizationPolymer chemistryMonomerLiving polymerizationIonic polymerizationPolymerRadical polymerizationBranching (polymer chemistry)Bulk polymerizationCopolymerMaterials scienceSuspension polymerizationChemical engineeringSolution polymerizationChemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract The article contains sections titled: 1. Introduction 2. Processes and Reactor Modeling for Step‐Growth Polymerization 2.1. Types of Reactors and Reactor Modeling 2.2. Specific Processes 3. Processes and Reactor Modeling for Chain‐Growth Polymerization 3.1. Material Balance Equations for Batch, Semi‐Batch, and Continuous Reactors 3.1.1. Rates of Reaction and Copolymer Composition 3.1.2. Molecular Masses, Long‐Chain Branching, and Cross‐Linking 3.2. Examples of Free‐Radical Polymerization 3.2.1. Homopolymerization ‐ Linear Chains 3.2.2. Copolymerization ‐ Linear Chains 3.2.3. Copolymerization ‐ Long‐Chain Branching 3.3. Polymerization Processes 3.3.1. Solution Polymerization 3.3.1.1. Polymer Soluble in Monomer 3.3.1.2. Addition of a Solvent in which both Monomer and Polymer are Miscible 3.3.1.3. Polymer ‐ Polymer Demixing during Polymerization 3.3.2. Precipitation Polymerization 3.3.2.1. Polymer Insoluble in its Monomer 3.3.2.2. Monomer Functioning as Solvent for the Polymer 3.3.3. Suspension Polymerization 3.3.3.1. Qualitative Description 3.3.3.2. Dispersants 3.3.3.3. Mechanism of Particle Formation 3.3.3.4. Industrial Applications 3.3.4. Emulsion Polymerization 3.3.4.1. Theories of Emulsion Polymerization 3.3.4.2. Physicochemical Parameters of Dispersions 3.3.4.3. Inverse Emulsion Polymerization 3.3.4.4. Semi‐Batch Emulsion Polymerization 3.3.4.5. Continuous Emulsion Polymerization 3.4. Miscellaneous Processes 3.5. Ionic Polymerization Modeling 3.5.1. Introduction 3.5.2. Heterogeneous Coordination Polymerization 3.6. Process Variables, Reactor Dynamics/ Stability, On‐Line Monitoring and Control 3.6.1. Influence of Reactor Type and Configuration on Molecular Mass and Copolymer Composition Distributions, and on Long‐Chain Branching and Cross‐Linking 3.6.1.1. Monomer Coupling with Bimolecular Termination Plug Flow and Batch Reactors (CPFR/BR) 3.6.1.2. Monomer Coupling Without Termination Plug Flow and Batch Reactors (CPFR/BR) 3.6.1.3. Polymer Coupling 3.6.1.4. Copolymerization 3.6.1.5. Long‐Chain Branching and Cross‐Linking 3.6.2. Reactor Dynamics and Stability 3.6.3. On‐Line Monitoring and Control 4. Acknowledgement

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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: Other · Consensus signal: none
Teacher disagreement score0.019
Threshold uncertainty score0.062

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0040.003
Open science0.0020.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0190.009

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 head0.026
GPT teacher head0.228
Teacher spread0.202 · 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 designSimulation or modeling
Domainnot available
GenreOther

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

Citations3
Published2011
Admission routes1
Has abstractyes

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