Compact Modelling of Electrical, Mechanical and Thermal Behaviour for MEMS with SPICE

2008 ◽  
Vol 1083 ◽  
Author(s):  
Andreas Frank ◽  
J.-P. Zoellner ◽  
Y. Sarov ◽  
Tz. Ivanov ◽  
I. Kuhnholz ◽  
...  
Keyword(s):  
Thermal Behaviour ◽  
Fem Simulation ◽  
Electrical Circuit ◽  
System Level ◽  
Equivalent Circuits ◽  
Macro Model ◽  
Circuit Simulator ◽  
Lumped Elements ◽  
Cantilever Array ◽  
Novel Method

ABSTRACTIn this paper we present a novel method of nonlinear macro model of a cantilever for mixed domain simulation only with SPICE. Based on lumped elements of equivalent circuits a model is developed, which realizes a coupled electro-thermal-mechanical simulation including crosstalk effects. The model is verified with measurement and helps to class and solve crosstalk. With SPICE as electrical circuit simulator the cantilever array could be simulate in conjunction with the excitations and analysis electronics more detailed like the system level models and faster like FEM-simulation.

scholarly journals A Novel Method for Predicting Disease-Associated LncRNA-MiRNA Pairs Based on the Higher-Order Orthogonal Iteration

2019 ◽  
Vol 2019 ◽  
pp. 1-13 ◽  
Author(s):  
Zhanwei Xuan ◽  
Xiang Feng ◽  
Jingwen Yu ◽  
Pengyao Ping ◽  
Haochen Zhao ◽  
...  
Keyword(s):  
Higher Order ◽  
System Level ◽  
Cell Proliferation And Differentiation ◽  
Proliferation And Differentiation ◽  
Great Insight ◽  
Novel Method ◽  
Global And Local ◽  
Novel Model ◽  
Insight Into ◽  
Orthogonal Iteration

A lot of research studies have shown that many complex human diseases are associated not only with microRNAs (miRNAs) but also with long noncoding RNAs (lncRNAs). However, most of the current existing studies focus on the prediction of disease-related miRNAs or lncRNAs, and to our knowledge, until now, there are few literature studies reported to pay attention to the study of impact of miRNA-lncRNA pairs on diseases, although more and more studies have shown that both lncRNAs and miRNAs play important roles in cell proliferation and differentiation during the recent years. The identification of disease-related genes provides great insight into the underlying pathogenesis of diseases at a system level. In this study, a novel model called PADLMHOOI was proposed to predict potential associations between diseases and lncRNA-miRNA pairs based on the higher-order orthogonal iteration, and in order to evaluate its prediction performance, the global and local LOOCV were implemented, respectively, and simulation results demonstrated that PADLMHOOI could achieve reliable AUCs of 0.9545 and 0.8874 in global and local LOOCV separately. Moreover, case studies further demonstrated the effectiveness of PADLMHOOI to infer unknown disease-related lncRNA-miRNA pairs.

Diplexer Circuit Analysis and Design

2020 ◽  
pp. 109-121
Keyword(s):  
Bandpass Filter ◽  
Bandpass Filters ◽  
Circuit Model ◽  
Circuit Analysis ◽  
Dual Band ◽  
Model Coupling ◽  
Analysis And Design ◽  
Circuit Simulator ◽  
Novel Method

In this chapter, a novel method of designing a microwave diplexer circuit is presented. This technique involves merging a section of a dual-band bandpass filter (DBF) with a section of two separately designed bandpass filters (BPFs). The chapter covers the step-by-step procedures that informed the successful realization of the diplexer circuit model. The circuit model coupling arrangement, simulation, and results are also covered. The diplexer circuit developed here has been simulated using the Keysight ADS circuit simulator. The results presented show a very good isolation between the transmit and the receive bands of the diplexer circuit.

Modeling of Capacitive Microaccelerometers with Squeeze Film Damping and Electrostatic Effects Using Model Order Reduction

2009 ◽  
Vol 60-61 ◽  
pp. 213-218
Author(s):  
Ya Fei Zhang ◽  
Wei Zheng Yuan ◽  
Hong Long Chang ◽  
Jing Hui Xu
Keyword(s):  
Model Order Reduction ◽  
Order Reduction ◽  
System Level ◽  
Squeeze Film ◽  
Electrostatic Effects ◽  
Model Order ◽  
Circuit Simulator ◽  
System Level Simulation ◽  
Squeeze Film Damping ◽  
Hardware Description

Model order reduction is an effective method to generate macromodels for system-level simulation. But it is difficult to deal with the electro-mechanical-damping coupling problems. So we presents a new approach to model the capacitive microaccelerometers with squeeze film damping and electrostatic effects using model order reduction (MOR) method. In this approach, the mechanical, squeeze film damping and electrostatic domains of the devices are modeled separately and then coupled at system-level. The macromodel for squeezed film damping effects could account for slip condition of the flow at low pressure and edge effects. In addition, some important parameters are preserved as symbol. The extracted macromodels are translated into the hardware description language and imported into a circuit simulator. An accelerometer is used to demonstrate the feasibility and efficiency of the proposed approach. Numerical simulation results show that the extracted macromodel can dramatically reduce the computation cost while capturing the device behavior accurately.

scholarly journals MODAL TRIGGERED NONLINEARITIES FOR DAMAGE LOCALIZATION IN THIN WALLED FRC STRUCTURES – A NUMERICAL STUDY

2016 ◽  
Vol 14 (1) ◽  
pp. 21 ◽  
Author(s):  
Tobias Rademacher ◽  
Manfred Zehn
Keyword(s):  
Numerical Study ◽  
Fem Simulation ◽  
Harmonic Distortion ◽  
Mode Shapes ◽  
Novel Approach ◽  
Simulation Based ◽  
Novel Method ◽  
Thin Walled ◽  
Modal Description ◽  
Nonlinear Measure

This paper presents a novel method for detecting locations of damages in thin walled structural components made of fiber reinforced composites (FRC). Therefore, the change of harmonic distortion, which is found by current research to be very sensitive to delamination, under resonant excitation will be derived from FEM-simulation. Based on the linear modal description of the undamaged structure and the damage-induced nonlinearities represented by a nonlinear measure, two spatial damage indexes have been formulated.The main advantage of this novel approach is that the information about the defect is represented mainly by changes in the modal harmonic distortion (MHD), which just needs to be measured in one (or few) structural points. The spatial resolution is given by the pairwise coupling of the MHD with the corresponding mode shapes.

scholarly journals Multi Grid Chaotic Attractors with Discrete Jumps

2013 ◽  
Vol 64 (2) ◽  
pp. 118-122 ◽  
Author(s):  
Tomáš Gotthans ◽  
Zdeněk Hruboš
Keyword(s):  
Transfer Function ◽  
Electrical Circuit ◽  
Analog To Digital Converters ◽  
Chaotic Attractors ◽  
The Novel ◽  
Analog To Digital ◽  
Circuit Simulator ◽  
Step Functions ◽  
Discrete Step ◽  
Novel Approach

In this paper the discrete step functions are used in order to generate m×n scroll chaotic hypercube attractors. The design and realization of multi-scroll attractors depends on synthesizing the nonlinearity with an electrical circuit. The essence of the novel approach is in designing the transfer function with analog to digital converters connected directly without any microcomputer, instead of using standard comparator or hysteresis methods. Therefore there is no special need for synthesizing the nonlinearity towards m × n scroll chaotic attractors. The approach is verified with PSpice 16.0 circuit simulator and experimentally measured.

scholarly journals Microstructural and Functional Gradients are Increasingly Dissociated in Transmodal Cortices

2018 ◽  
Author(s):  
Casey Paquola ◽  
Reinder Vos De Wael ◽  
Konrad Wagstyl ◽  
Richard A.I. Bethlehem ◽  
Seok-Jun Hong ◽  
...  
Keyword(s):  
System Level ◽  
Human Cognition ◽  
Neural Function ◽  
Structural Constraints ◽  
Primate Research ◽  
Novel Approach ◽  
Novel Method ◽  
And Function ◽  
The Relationship

SummaryWhile the role of cortical microstructure in organising neural function is well established, it remains unclear how structural constraints can give rise to more flexible elements of cognition. While non-human primate research has demonstrated a close structure-function correspondence, the relationship between microstructure and function remains poorly understood in humans, in part because of the reliance onpost mortemanalyses which cannot be directly related to functional data. To overcome this barrier, we developed a novel approach to model the similarity of microstructural profiles sampled in the direction of cortical columns. Our approach was initially formulated based on an ultra-high-resolution 3D histological reconstruction of an entire human brain and then translated to myelin-sensitive MRI data in a large cohort of healthy adults. This novel method identified a system-level gradient of microstructural differentiation traversing from primary sensory to limbic regions that followed shifts in laminar differentiation and cytoarchitectural complexity. Importantly, while microstructural and functional gradients described a similar hierarchy, they became increasingly dissociated in transmodal default mode and fronto-parietal networks. Meta analytic decoding of these topographic dissociations highlighted involvement in higher-level aspects of cognition such as cognitive control and social cognition. Our findings demonstrate a relative decoupling of macroscale functional from microstructural gradients in transmodal regions, which likely contributes to the flexible role these regions play in human cognition.

FEM simulation of the hygro-thermal behaviour of wood under surface densification at high temperature

2013 ◽  
Vol 48 (21) ◽  
pp. 7603-7612 ◽  
Author(s):  
Stefania Fortino ◽  
Andrea Genoese ◽  
Alessandra Genoese ◽  
Lauri Rautkari
Keyword(s):  
High Temperature ◽  
Thermal Behaviour ◽  
Fem Simulation ◽  
Surface Densification

A Novel Method to Dicing Anodically Bonded Silicon Glass MEMS Wafers Based on UV Laser Technique

2014 ◽  
Vol 511-512 ◽  
pp. 3-7
Author(s):  
Zhi Sheng Jing ◽  
Ze Long Zhou ◽  
Chen Mei ◽  
Xiang Yong Su ◽  
Zhuo Yang ◽  
...  
Keyword(s):  
Thermal Stress ◽  
Bonding Temperature ◽  
Fem Simulation ◽  
Glass Wafer ◽  
Stress Distributions ◽  
Uv Laser ◽  
The Finite Element Method ◽  
Laser Technique ◽  
Novel Method ◽  
Good Agreement

UV laser dicing has many advantages such as mechanical stress-free and dicing shape-free, but it is seldom used to dice multi-layer MEMS wafers because of the deposition of a lot of debris and heat affected zones around the dicing lines. In this paper, a novel UV laser dicing method for anodically bonded wafers is presented. The heat caused split of the bonded silicon and glass around the dicing line is prevented by fabricating recesses on either the glass wafer or the silicon wafer. The Finite Element Method (FEM) in the ANSYSTM software was utilized to analyze the temperature and thermal stress distributions during the dicing process. The thermal stress is minimized sharply due to the fabrication of the recesses beneath the dicing line. The thicknesses of the glass and silicon wafers are 500μm and 250μm, respectively. The anodically bonding temperature is 360oC, and the bonding voltage is 400V. Dicing experiments show that the huge thermal stress caused by the laser can split the originally bonded silicon from glass around the dicing line. After recesses are fabricated along the dicing line, no heat caused split happens. The experiment results are in a good agreement with the FEM simulation. Compared with other methods, this research can provide a more reliable, flexible and cheaper laser dicing process for thick anodically bonded silicon/glass MEMS wafers, especially for multi-layer wafers with free shape.

A New Method for the Derivation of the Output Characteristics of Amorphous Silicon Thin-Film Transistors.

1994 ◽  
Vol 336 ◽  
Author(s):  
A. Mittiga ◽  
L. Mariucci ◽  
R. Carluccio ◽  
A. Pecorai ◽  
G. Fortunato
Keyword(s):  
Thin Film ◽  
Experimental Data ◽  
Thin Film Transistors ◽  
Adjustable Parameter ◽  
Channel Conductance ◽  
Silicon Thin Film ◽  
Circuit Simulator ◽  
Conductance Curve ◽  
Novel Method ◽  
Output Characteristics

ABSTRACTA novel method to derive the output characteristics of a-Si:H thin film transistors from the channel conductance curve is presented. The Method well reproduces the experimental data both in the linear and saturation regimes without using any adjustable parameter. The Method is simple and fast enough to be used in a circuit simulator.

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