Progress on a Preconceptual Supercritical Water-Cooled Small Modular Reactor
Bibliographic record
Abstract
Abstract The supercritical water-cooled reactor (SCWR) is one of the six concepts selected by the generation-IV international forum (GIF) for future research. This technology is a natural evolutionary step of the current water-cooled reactors. Canada is a participant of the GIF, and under this international endeavor developed the Canadian SCWR, which is a 1200 MWe concept. However, due to high capital cost associated with building large units, the nuclear industry rekindled an old concept: Small reactors (SRs), and now small modular reactors (SMRs). These reactors are poised to reduce the financial risks associated with large units, and also potentially offer more flexibility as modules can be prefabricated and transported to the construction site for assembly. As a result, numerous domestic and international programs were established to support the development and deployment of SMRs. The ECC-SMART project was proposed to develop a supercritical water-cooled SMR. Canada joined this collaboration, and under this project alongside the GIF SCWR and IAEA CRP platforms, a new Canadian supercritical water-cooled small modular reactor (SCW-SMR) was proposed and developed. This concept is based on the experience and lessons learned during the development of the Canadian SCWR. An overview of a multidisciplinary approach that led to the concept is presented in this paper, consisting of a market study, thermodynamics and energy conversion, reactor physics, thermal hydraulics, materials and chemistry, and safety assessments.
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 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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".