Thermal modeling of thermally isolated microplates
Bibliographic record
Abstract
In this paper we present an efficient method to calculate the thermal conductance in a thermally isolated microplate, connected to the substrate by two thin arms. The method can be applied to uncooled microbolometer pixels which in general, incorporate a thermally isolated microplate. The model approximates the microplate as a two-region slab, where heat flows in one direction. The thermal resistance that results from the constriction of the heat flux lines is added to the model as thermal contact resistance. To evaluate the model, two microplates having different dimensions were fabricated using PolyMUMPs. The experimental results are compared to the proposed model and finite element simulations. It is shown that for the tested structures, the maximum discrepancy in thermal conductance between our model and the experiments is 6%, compared to the ~22% discrepancy found using conventional models. It is concluded that the method is very effective in thermal modeling of microplates and it is applicable to uncooled microbolometer pixels.
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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 | 0.001 |
| 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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".