A Hybrid Model for Optimal Concurrent Design of Solid Oxide Fuel Cell System Considering Functional Performance and Production Cost
Why this work is in the frame
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Bibliographic record
Abstract
This research addresses the issues to identify the optimal design of solid oxide fuel cell (SOFC) system considering functional performance and production cost. In this research, modeling of the relations between design parameters and evaluation parameters is first discussed. Due to uncertainties of parameter relations, a hybrid model is introduced in this work to describe two types of parameter relations, mathematical relations and neural network relations, and associate these two types of relations through a parameter relation network. The optimal SOFC system design considering function performance and production cost is achieved by changing values of design parameters based on evaluation of performance and cost parameters through multi-objective optimization. A software system has been developed based on the introduced method. A case study has also been conducted to demonstrate the effectiveness of the optimal SOFC system design approach.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it