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Updated: May 24, 2025

Microfluidic Pneumatic Cages: A Novel Approach for In-chip Crystal Trapping, Manipulation and Controlled Chemical Treatment
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在多MEMS中对局部几何不确定性的评估:一种遗传算法和POD-Kriging替代建模方法

Ananya Roy1, Francesco Rizzini2, Gabriele Gattere2

  • 1Department of Civil and Environmental Engineering, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milano, Italy.

Micromachines
|March 6, 2025
PubMed
概括

量化几何不确定性对于微电子机械系统 (MEMS) 微型化至关重要. 本研究提出了一种使用遗传算法和正确的直角分解来预测MEMS设备的过度蚀刻变异的新方法,提高了制造精度.

关键词:
基因算法 (GA) 是一种基因算法.克里格林的插值计算.微型电机系统 (MEMS) 是指微型电机系统.过度雕刻的情况正确的直角分解 (POD)不确定性量化不确定性量化

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Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
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