A MEMS Gravimeter with Buckling-Beam Nonlinear Springs for Enhanced Sensitivity and Dynamic Range
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Bibliographic record
Abstract
Accurate measurement of variations in local gravitational acceleration is crucial for geophysical research, natural hazard forecasting, and resource exploration. However, existing gravimeters are expensive, heavy, large, and power-hungry, motivating research on gravimeters based on micro-electromechanical systems. This paper introduces a buckling-based nonlinear spring mechanism. Through proper structural design, the buckling of two beams results in a significant reduction of the effective stiffness of the structure and, hence, improving sensitivity under the desired load. A prototype device was designed to demonstrate the working principle. The design demonstrated a remarkable drop in resonant frequency from ~110Hz to 30Hz in simulations, corresponding to a ~13×increase in sensitivity. On the other hand, the buckling of the support beams occurs gradually over a wide range of input forces, allowing the device to simultaneously achieve a high dynamic range. The designed prototype was fabricated through standard microfabrication processes and characterized. The device utilized an on-chip optical interferometer between an optical fiber and the proof mass sidewall to monitor displacements of proofmass due to input accelerations. The optical displacement sensitivity was 0.6 mV/nm with a displacement noise floor of 40 pm/√Hz at 2 Hz, The gravimeter demonstrated a sensitivity of 23,4 V/g and a dynamic range of 276 mg(1g ≈ 9,81 m/s<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup>).
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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