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Record W2024105000 · doi:10.1137/050647803

On the Partial Differential Equations of Electrostatic MEMS Devices: Stationary Case

2007· article· en· W2024105000 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSIAM Journal on Mathematical Analysis · 2007
Typearticle
Languageen
FieldComputer Science
TopicAdvanced Mathematical Modeling in Engineering
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsUniquenessLambdaMathematicsBounded functionMathematical analysisBoundary value problemNonlinear systemDomain (mathematical analysis)PhysicsQuantum mechanics

Abstract

fetched live from OpenAlex

We analyze the nonlinear elliptic problem $\Delta u =\frac{\lambda f(x)}{(1+u)^2}$ on a bounded domain Ω of $R^N$ with Dirichlet boundary conditions. This equation models a simple electrostatic micro‐electromechanical system (MEMS) device consisting of a thin dielectric elastic membrane with boundary supported at 0 above a rigid ground plate located at ‐1. When a voltage—represented here by λ—is applied, the membrane deflects towards the ground plate, and a snap‐through may occur when it exceeds a certain critical value $\lambda^*$ (pull‐in voltage). This creates a so‐called pull‐in instability, which greatly affects the design of many devices. The mathematical model leads to a nonlinear parabolic problem for the dynamic deflection of the elastic membrane, which will be considered in a forthcoming paper. Here, we focus on the stationary equation and on estimates for $\lambda^*$ in terms of material properties of the membrane, which can be fabricated with a spatially varying dielectric permittivity profile f. Applying analytical and numerical techniques, we establish upper and lower bounds for $\lambda^*$ in terms of the volume and shape of the domain, the dimension of the ambient space, as well as the permittivity profile. We analyze the first branch of stable steady states when $\lambda < \lambda^*$ and prove that a semistable (extremal) solution exists at $\lambda=\lambda^*$ in dimension $1\leq N\leq 7$, and that classical extremal solutions may not exist for dimension $N\geq 8$. More refined properties of stable steady states—such as regularity, stability, uniqueness, multiplicity, energy estimates, and comparison results—are also established. The analysis of branches of unstable solutions is more elaborate and is tackled in the companion paper [P. Esposito, N. Ghoussoub, and Y. Guo, Comm. Pure Appl. Math., (2006), to appear].

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.862
Threshold uncertainty score0.465

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.025
GPT teacher head0.292
Teacher spread0.268 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it