Preliminary Thermodynamics and Neutronics Analysis of Canadian Nuclear Battery
Bibliographic record
Abstract
The Canadian Nuclear BatteryTM (CNB) is a 2400 kWth (500 kWe) small modular reactor (SMR) initially designed in the 1980s targeted at applications in remote locations in Northern Canada [1]–[3]. The reactor uses potassium or sodium heat pipes as the primary heat removal system which demonstrate passive cooling characteristics. Heat pipes are metal pipes filled with working liquid and its vapour phase to transfer heat from the heated area (evaporator section) to the cooled area (condenser section) through phase change. Theoretical investigations are carried out to produce adequate information for the effective utilization of the heat pipe design in the reactor. Steady-state and a hypothetical double-power transient are simulated with STAR-CCM+ to understand the thermodynamics of the core and the propagation of heat pipe failures in accidental events. Preliminary neutronics calculations are carried out for the hypothetical double power transient and 50% power setback transient to evaluate the neutronics and xenon behaviours of the reactor. The purpose of the study is to provide first information about the thermal and neutronics performances of CNB in the early stage of development.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".