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The Fusion Fuel Cycle Simulator — towards integrated dynamic process simulation of fusion fuel cycles

2025· article· en· W4410438655 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueFusion Engineering and Design · 2025
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsCanadian Nuclear LaboratoriesAtomic Energy (Canada)
Fundersnot available
KeywordsFusionProcess (computing)Fusion powerComputer scienceFuel cycleDynamic simulationNuclear engineeringSimulationAutomotive engineeringEnvironmental sciencePlasmaEngineeringNuclear physicsPhysicsOperating system

Abstract

fetched live from OpenAlex

Kyoto Fusioneering in collaboration with Canadian Nuclear Laboratories, under the auspice of Fusion Fuel Cycles Inc. is developing the Fusion Fuel Cycle Simulator (FFC Sim ), a modular and flexible fusion fuel cycle design and simulation tool that can be used to provide a dynamic, physics-based and closed-loop simulation of holistic fusion fuel cycles. The FFC Sim aims to enable accurate quantitative prediction of individual unit performances, support dynamic and steady state simulation, as well as the integration of process chains up to full fuel cycle scale. This paper will introduce the high-level concepts of the tool, its modeling basis and implementation, as well as select verification cases.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.556
Threshold uncertainty score1.000

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)0.0010.000

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 head0.009
GPT teacher head0.266
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