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OVERVIEW APPLICATIONS INTERACTIVE APPLETS HISTORY OF THE METHODS/FLOW CHART PUBLICATIONS EDUCATIONAL MATERIAL ACKNOWLEDGEMENTS ABOUT THE AUTHOR/CV Copyright: 1996, 1999, 2006 J.A. Sethian |
Applications to Semiconductor Profile Modeling
The central idea is to employ the Narrow Band level set method to track the interface. Fast Marching Methods are used to couple the physics through the construction of extension velocities. The flux functions which ultimately determine the growth of the profile depends on such factors as material dependent etch rates, visibilities, non-convex flux laws, surface diffusion, as well as re-deposition and re-emission factors. General ReferencesA large collection of papers have been written on this topic, and are described below. We also refer the reader to two special web pages on this topic:
Annotated References:
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AbstractWe apply a level set formulation to the problem of surface advancement in a two-dimensional topography simulation of deposition, etching, and lithography processes in integrated circuit fabrication. The level set formulation is based on solving a Hamilton-Jacobi type equation for a propagating level set function, using techniques borrowed from hyperbolic conservation laws. Topological changes, corner and cusp development, and accurate determination of geometric properties such as curvature and normal direction are naturally obtained in this setting. The equations of motion of a unified model, including the effects of isotropic and unidirectional deposition and etching, visibility, surface diffusion, reflection, and material dependent etch/deposition rates are presented and adapted to a level set formulation. The development of this model and algorithm naturally extends to three dimensions in a straightforward manner, and is described in Part II of this paper.
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AbstractWe apply a level set formulation to the problem of surface advancement in three-dimensional topography simulation of deposition, etching, and lithography processes in integrated circuit fabrication. The level set formulation is based on solving a Hamilton-Jacobi type equation for a propagating level set function, using techniques borrowed from hyperbolic conservation laws. Topological changes, corner and cusp development, and accurate determination of geometric properties such as curvature and normal direction are naturally obtained in this setting. The equations of motion of a unified model, including the effects of isotropic and unidirectional deposition and etching, visibility, surface diffusion, reflection, and material dependent etch/deposition rates are presented and adapted to a level set formulation. In Part I of this paper, the basic equations and algorithms for two dimensional simulations were developed. In this paper, the extension to three dimensions is presented. We show a large collection of simulations, including three-dimensional etching and deposition into cavities under the effects of visibility, directional and source flux functions, evolution of lithographic profiles, discontinuous etch rates In Part III of this paper, effects of reflection, re-emission, surface diffusion, and multiple materials will be presented.
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AbstractPreviously, Adalsteinsson and Sethian have applied the level set formulation to the problem of surface advancement in two and three-dimensional topography simulation of deposition, etching, and lithography processes in integrated circuit fabrication. The level set formulation is based on solving a Hamilton-Jacobi type equation for a propagating level set function, using techniques borrowed from hyperbolic conservation laws. Topological changes, corner and cusp development, and accurate determination of geometric properties such as curvature and normal direction are naturally obtained in this setting. Part I presented the basic equations and algorithms for two dimensional simulations, including the effects of isotropic and uni-directional deposition and etching, visibility, reflection, and material dependent etch/deposition rates. Part II focused on the extension to three dimensions. This paper completes the series, and add the effects of re-deposition, re-emission, and surface diffusion. This requires the solution of the transport equations for arbitrary geometries, and leads to simulations that contain multiple simultaneous competing effects of visibility, directional and source flux coefficients for the re-emission and re-deposition functions, multi-layered fronts and thin film layers.
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AbstractPreviously, Adalsteinsson and Sethian have applied the level set formulation to the problem of surface advancement in two and three-dimensional topography simulation of deposition, etching, and lithography processes in integrated circuit fabrication. The level set formulation is based on solving a Hamilton-Jacobi type equation for a propagating level set function, using techniques borrowed from hyperbolic conservation laws. Topological changes, corner and cusp development, and accurate determination of geometric properties such as curvature and normal direction are naturally obtained in this setting. Part I presented the basic equations and algorithms for two dimensional simulations, including the effects of isotropic and uni-directional deposition and etching, visibility, reflection, and material dependent etch/deposition rates. Part II focused on the extension to three dimensions. This paper completes the series, and add the effects of re-deposition, re-emission, and surface diffusion. This requires the solution of the transport equations for arbitrary geometries, and leads to simulations that contain multiple simultaneous competing effects of visibility, directional and source flux coefficients for the re-emission and re-deposition functions, multi-layered fronts and thin film layers.
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AbstractWe present detailed timings of a fast marching level set method introduced by Sethian for surface advancement in photoresist development. The method merges fast narrow band level set methods Eikonal equation, and fast heap sort algorithms. The resulting method can perform the development stage of the three-dimensional photoresist process in 80 seconds on a Sparc10 for a 200x200x200 grid.
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AbstractThe range of surface evolution problems in etching, deposition, and lithography development offers significant challenge for numerical methods in front tracking. Level set methods for evolving interfaces are specifically designed for profiles which can develop sharp corners, change topology, and undergo orders of magnitude changes in speed. They are based on solving a Hamilton-Jacobi type equation for a level set function, using techniques borrowed from hyperbolic conservation laws. Over the past few years, a body of level set methods have been developed with application to microfabrication problems.
In this paper, we give an overview of these techniques, describe the implementation in etching, deposition, and lithography simulations, and present a collection of fast level set methods, each aimed at a particular application. In the case of photoresist development and isotropic etching/deposition, the fast marching level set method introduced by Sethian can track the three-dimensional photoresist process through a $200 \times 200 \times 200$ rate function grid in under 55 seconds on a Sparc10. In the case of more complex etching and deposition, the Narrow Band level set method, introduced in by Adalsteinsson and Sethian, can be used to handle problems in which the speed of the interface delicately depends on the orientation of the interface vs. an incoming beam, the effects of visibility, surface tension, reflection and re-emission, and complex three-dimensional effects. Our applications include photoresist development, etching/deposition problems under the effects of masking, visibility, complex flux integrations over sources, non-convex sputter deposition problems, and simultaneous deposition and etch phenomena.Download publications
AbstractThe application of level set techniques to problems two and three dimensional surface evolution in etching, deposition, and lithography development have been described in a series of papers, see [1,6]. The techniques are robust, accurate, unbreakable, and extremely fast, and can be applied to highly complex two and three dimensional surface topography evolutions in [1,6]), including sensitive flux/visibility integration laws, simultaneous etching and deposition, effects of non-convex sputter laws demonstrating faceting, as well as ion-sputtered re-deposition and re-emission with low sticking coefficients, and surface diffusion.
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AbstractSeveral silicon dioxide chemical vapor deposition processes using high density plasma sources have been recently proposed in the literature for deposition of self-planarizing inter-level dielectric deposition. All these processes exhibit the competitive effect of simultaneous deposition and etching mechanisms. This paper describes the use of a robust simulation technique that can include all physical mechanisms involved in these processes. We demonstrate results applied to two and three-dimensional problems analyzing ion milling, simultaneous etching and deposition, and multiple effects of re-emission and redeposition.
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AbstractIn this paper we describe the implementation of Plasma Enhanced CVD (PECVD) models. We show numerical results for a fully three dimensional structure using level set method techniques. The terms being simulated contain both an isotropic and a source deposition term, along with the effects of reflection and re-emission.
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AbstractOver the past few years [2,3], level set methods have shown to be valuable tools in simulating the effects of etching and deposition on surface topography issues. Level Set methods are computational techniques which approximate the equations of motion for a propagating front by transforming them into an initial value partial differential equation, whose unique solution gives the position of the front. Corners and cusps are naturally handled, and topological change occurs in a straightforward and rigorous manner with no special user intervention. The techniques are robust, accurate, unbreakable, and extremely fast, and can be applied to highly complex surface evolutions.
In this paper, we discuss the extension of these techniques to problems including re-emission and redeposition, both with linear and non-linear flux functions, as well as to problems including thin films and emerging triple points. Our focus is on three-dimensional simulations, which require particular attention to fast solvers for computing visibility, rapid techniques for building the interaction matrix to approximate the integral equation for the total flux at each point of the interface, fast summation techniques for evaluating the associated integral equation, and techniques for tracking multiple interfaces.
We discuss these issues and depth, and present a series of realistic computational examples, including timing numbers, for building accurate re-emission/re-deposition and thin film/sidewall activation simulations.Download publications
AbstractThe range of surface evolution problems in etching, deposition, and lithography development offers significant computational challenges. In a series of papers, (Ref. 1, 2, 3, and 5 above), level set methods for front tracking have been used to simulate a wide range of semi-conductor simulation, including lithography development and etching and deposition simulation, including the affects of visibility, masking, non-convex sputter laws, re-deposition, re-emission, and surface diffusion. A careful design of appropriate algorithms yields a wide range of computational requirements, from personal computers for lithography development to full supercomputers for solving the integral equation in re-emission problems with smaller sticking coefficients. In this paper, we briefly review the level set approach to these problems and discuss some aspects of the computational requirements.
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AbstractWe describe set of numerical techniques, known as level set methods, for computing the complex motion of two and three dimensional surface evolution in etching, deposition, and lithography development. The techniques are robust, accurate, unbreakable, and extremely fast, and can be applied to highly complex surface evolutions. For example, calculation of the three-dimensional profile advancement for lithography development takes under 3 seconds on a $80 \times 80 \times 80$ grid on a Sparc 10. We show the application of these techniques to a variety of process manufacturing problems in two and three dimensions, including sensitive flux/visibility integration laws, simultaneous etching and deposition, effects of non-convex sputter laws demonstrating faceting, as well as ion-sputtered re-deposition and re-emission with low sticking coefficients, and surface diffusion.
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AbstractBorrowing from techniques developed for conservation law equations, numerical schemes which discretize the Hamilton-Jacobi (H-J), level set, and Eikonal equations on triangulated domains are presented. The first scheme is a provably monotone discretization for the H-J equations. Unfortunately, the basic scheme lacks proper Lipschitz continuity of the numerical Hamiltonian. By employing a ``virtual'' edge flipping technique, Lipschitz continuity of the numerical flux is restored on acute triangulations. Next, schemes are introduced and developed based on the weaker concept of positive coefficient approximations for homogeneous Hamiltonians. These schemes possess a discrete maximum principle on arbitrary triangulations and naturally exhibit Lipschitz continuity of the numerical Hamiltonian under mild assumptions on the data and Hamiltonian. Finally, a class of Petrov-Galerkin approximations are considered. These schemes are stabilized via a least-squares bilinear form. The Petrov-Galerkin schemes do not possess a discrete maximum principle but generalize to high order accuracy. Discretization of the level set equation also requires the numerical approximation of a mean curvature term. A simple mass-lumped Galerkin approximation is presented and analyzed using maximum principle analysis. The use of unstructured meshes permits several forms of mesh adaptation which have been incorporated into numerical examples. These numerical examples include discretizations of convex and nonconvex forms of the H-J equation, the Eikonal equation, and the level set equation.
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AbstractIn this paper, we discuss numerical schemes to model the motion of curves and surfaces under the intrinsic Laplacian of curvature. This is an intrinsically difficult problem, due to the lack of a maximum principle and the delicate nature of computing an equation of motion which includes a fourth derivative term. We design and analyze a host of algorithms to try and follow motion under this flow, and discuss the virtues and pitfalls of each. Synthesizing the results of these various algorithms, we provide a technique which is stable and handles very delicate motion in two and three dimensions. We apply this algorithm to problems of surface diffusion flow, which is of value for problems in surface diffusion, metal reflow in semiconductor manufacturing, sintering, and elastic membrane simulations. In addition, we provide examples of the extension of this technique to anisototropic diffusivity and surface enery which results in an anisotropic form of the equation of motion.
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