2013
DOI: 10.1016/j.cpc.2013.05.016
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Implementation and evaluation of the Level Set method: Towards efficient and accurate simulation of wet etching for microengineering applications

Abstract: ElsevierMontoliu Álvaro, C.; Ferrando Jódar, N.; Gosalves Tomas, MA.; Cerdá Boluda, J.; Colom Palero, RJ. (2013 AbstractThe use of atomistic methods, such as the Continuous Cellular Automaton (CCA), is currently regarded as a computationally efficient and experimentally accurate approach for the simulation of anisotropic etching of various substrates in the manufacture of Micro-electro-mechanical Systems (MEMS). However, when the features of the chemical process are modified, a time-consuming calibration proc… Show more

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Cited by 20 publications
(15 citation statements)
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“…In order to allow for a V ( n) of any complexity, ∂V /∂n l can be calculated numerically with a central difference scheme proposed by Montoliu et al [18] ∂V…”
Section: A Stencil Local Lax Friedrichs Numerical Dissipation Schemementioning
confidence: 99%
See 1 more Smart Citation
“…In order to allow for a V ( n) of any complexity, ∂V /∂n l can be calculated numerically with a central difference scheme proposed by Montoliu et al [18] ∂V…”
Section: A Stencil Local Lax Friedrichs Numerical Dissipation Schemementioning
confidence: 99%
“…In contrast, for general etching and growth processes the speed function is not explicitly given. Hence, the dissipation coefficients can be heuristically chosen [17], or a numerical approximation of the derivative of the Hamiltonian is employed, as proposed by Montoliu et al [18]. However, the approximation presented by Montoliu et al requires a numerical calibration parameter which has to be determined for every etching/growth condition.…”
Section: Introductionmentioning
confidence: 99%
“…The proper amount of dissipation (dissipation parameters) is a still-active research topic. The same method has been used in a recent implementation of the sparse field LS method described in [31,32]. Our approach is based on the ITK (Insight Toolkit) library [55].…”
Section: Simulation Methodsmentioning
confidence: 99%
“…For instance, there are too many parameters in the simulation model (hundreds or even thousands, including removal rates and others), which should be calibrated using experimentally obtained angular dependence of etching velocities. Also, new calibrations are needed each time the experimental conditions are changed, such as the etchant type, concentration and/or temperature, with calibration lasting several hours or even days [31][32][33].…”
Section: Introductionmentioning
confidence: 99%
“…However, the CCA method is 1.2 times faster than the LS implementation for the left-hand-side experiment in (f). Although a traditional sequential implementation of both methods shows that the CCA is twice as fast [59], in this study the GPU implementation of the CCA makes use of an octree data structure, which reduces the memory use but adds a relevant overhead to the GPU calculations [24]. The computational cost of our LS implementation is primarily due to the calculation of the spatial derivatives, the local etch rate and the maximum in Eq.…”
Section: Comparison To Experimental Structuresmentioning
confidence: 99%