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Record W4403137589 · doi:10.1088/978-0-7503-6069-2ch8

Molten salt reactors (MSRs)

2024· book-chapter· it· W4403137589 on OpenAlexaffabout
R. A. Dunlap

Bibliographic record

Venuenot available
Typebook-chapter
Languageit
FieldEngineering
TopicBauxite Residue and Utilization
Canadian institutionsDalhousie University
Fundersnot available
KeywordsMolten saltNuclear engineeringMolten salt reactorSalt (chemistry)Environmental scienceWaste managementProcess engineeringMaterials scienceEngineeringChemistryMetallurgyOrganic chemistry

Abstract

fetched live from OpenAlex

Chapter 8 provides a review of the basic operation, history, and current development of molten salt reactors (MSRs). These reactors are distinct from other nuclear fission reactors because, in many designs, the fuel is part of the liquid reactor coolant. These reactors may be thermal neutron reactors that use a graphite moderator or they may be fast reactors with no moderator. The only operational MSRs were constructed in the United States in the 1950s and 1960s. More recently, they have been designated as a design for Generation IV reactors and several MSR development projects are underway in the United States, Canada, and the United Kingdom. These reactors fall into three categories: those with fuel that circulates in the molten salt coolant, those with fuel in static molten salt, and those that use solid fuel with molten salt as the coolant. The present chapter reviews some of the development projects that fall into these three categories.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.047
Threshold uncertainty score0.159

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0470.032

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 head0.016
GPT teacher head0.218
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 designNot applicable
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

Citations4
Published2024
Admission routes2
Has abstractyes

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