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

Molten salt reactors (MSRs)

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

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

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.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.970
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.010

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

Quick stats

Citations4
Published2024
Admission routes2
Has abstractyes

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