Sub-mK, On-Package Temperature Control for High-Performance Microsystem Applications
Bibliographic record
Abstract
High-precision sensing applications require stable operating environments for the components, with temperature stability often being the most critical requirement. Existing methods for temperature control rely on a combination of device level (i.e., on-die) and system level (i.e., on-board and on-enclosure) temperature control and shielding to achieve the necessary temperature stability. However, die-level solutions offer limited postfabrication flexibility, while board/enclosure-level solutions contribute to increased system bulk and power consumption. Herein, we demonstrate a simple and versatile method of using on-package heaters and sensors for temperature control. Various configurations of surface-mount heaters and sensors were examined around a commercially available ceramic package. A simple proportional-integral temperature controller was developed and used for integrated temperature control. We demonstrate that the method achieves similar accuracies to having an on-die sensor, with sub-mK temperature stability achieved with a power consumption of approximately 500 mW. The presented approach offers a power-efficient, compact solution for precision temperature control that is applicable to a broad range of high-performance sensing applications.
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How this classification was reachedexpand
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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".