User:Panjasan/DIMOS

DIMOS: Display Modeling System

The first commercial software package for modeling of the electro-optical performance of Liquid Crystal Displays (LCDs).

In appreciation of Dwight W. Berreman, the contagious wizard of that art and Dieter A. Mlynski who supported the first steps of the newborn baby DIMOS. As a compliment and stimulus to Henning Wöhler who took care of the juvenile product and led it into its grown-up state and to its diversification in a variety of dimensions. Thank you to all those who contributed directly or via their published research work.

Introduction

The simulation of liquid crystal display devices (LCDs) via numerical modeling has become an indispensable part of the research and development of new electro-optical effects in LCs (i.e. development of novel display types) and of the optimization of existing display effects, because it allows exact and individual control of all model parameters, fast results and thus it ideally parallels the laboratory workbench. Complex optimization schemes can be used together with the numerical model in order to find special parameter combinations and to analyze parameter sensitivities. Numerical modeling of LCDs was successfully employed by van Doorn [1] and Berreman [2] in 1975 to explain the “bounce” in the dynamical optical response of TN-cells. At the time of its release in 1987 DIMOS was the first commercial software package for numerical modeling of display systems with LCDs [3].

Depending on the complexity of the display and on the targets of optimization, the simulation effort can be as small as typing in a few numbers into a pocket calculator (e.g. transmittance of a TN-cell at normal incidence in the quiescent state) or on the other hand it requires high-end PCs or even workstation computers when lateral effects cannot he neglected as in the case of high resolution TFT-LCDs or in devices using the in-plane-switching (IPS) effect.

The LCD is composed of plane parallel layers like glass substrates, LC layer, polarizes etc.. As long as the lateral extensions are much larger compared to the thickness of the individual layers and if sufficient homogeneity of the material and cell parameters along the surface can be assumed, a one-dimensional model is the adequate approximation. In this case the LCD model is composed of layers with infinite lateral extension. Refractive indices and the director orientation vary only along one direction, the LCD normal. The amount of numerical calculations for the determination of the director configuration and the optical quantities like transmittance and reflectance is moderate compared to two- or three-dimensional problems. This simple model allows performance optimization with simultaneous variation of several material and cell parameters.

High resolution displays with small pixels require two- or three-dimensional modeling, since "fringing field" effects cannot he neglected. As a result the director orientation may depend strongly on the lateral position. LCDs using the IPS effect carry electrodes on one substrate only, in contrast to the usual TN or STN-LCDs. The electric field in IPS-LCDs strongly depends on the position within a plane defined by the LCD-normal and a lateral direction, so that at least a two-dimensional model is required.

LC-Deformation

Before we can calculate the optical properties of LCDs we must know all parameters describing the model and thus entering into the computation. These comprise the refractive indices, layer thickness and optic axis orientation in case of birefringent materials. The most problematic parameter is the orientation of the optic axis within the LC-layer.

On the molecular level the nematic liquid crystal is composed of rod-like molecules with the long axes of neighboring molecules aligned approximately parallel to one another. The deviation from an ideal parallel alignment is due to thermal fluctuations of the molecules. The director, represented by the unit vector , is the temporal average of the molecular axes over a small volume at any location within the liquid crystal. The orientation of the director is allowed to change continuously within the medium, except at singularities, where the distances over which orientational changes occur are no longer much larger than the molecular dimensions.

In the following we use the term director rather than optic axis when considering LC-materials. The orientation of the director across the LC-layer as a function of the position is described by the director field. The director orientation is imposed only at the substrates due to a special treatment of the surfaces. However the orientation within the bulk of the LC-layer is not directly available in the general case. Oseen, Frank, Leslie, Ericksen, and others developed the theory of LC-elasticity [4, 5, 6, 7]. This theory is the basis for the calculation of the director orientation within the bulk of chiral-nematic LC-materials.

Alternatively, the free energy of the liquid crystal can be written in terms of the order parameter tensor Q. This „tensor approach“ maintains the physical equivalence of and and is thus sometimes believed to be more „realistic“ in the numerical modeling of LCDs. However, this approach can give rise to spontaneous transitions between topologically non-equivalent states without the generation of disclinations (e.g. inversion walls), solely based on discretization, which is unrealistic from the viewpoint of LC-physics [8].

The vector approach will not calculate the energy of a disclination correctly, but it will qualitatively yield increasing energy with increasing deformation while the tensor method may eventually slip into a topologically non-equivalent configuration with lower energy. The transition into a non-equivalent state depends strongly on the grid spacing. The chance for a transition increases with increasing grid spacing. It should be noted however, that in cases where defects exist, the basic assumption of LC-continuum theory collapses, i.e. that changes in director orientation are on scales much larger than the molecular dimensions.

Moreover, the mathematics involved in the vector approach is simpler, it requires fewer grid points for a given error, and the computing speed is higher.

Energy Densities

The theory of elasticity provides expressions for the elastic energy density of an LC layer:

,			(1)

where , , and are the elastic constants, is the helical pitch. The coupling of the molecules with the electric field caused by an applied voltage is given by the electrostatic energy density:

					(2)

The energy of the LC-layer is obtained by integration over the elastic and electrostatic energy densities. If there is a significant elastic coupling of the molecules at the surfaces the surface energy must be added to the total energy. The energy acts as a starting point for the calculation of the director configurations.

Surface Energy: Several expressions exist for description of a surface energy [9]. The commonly used approach was published by Rapini and Papoular [10]:

,						(3)

with the surface coupling parameter . The treatment of the substrates produces a preferred direction of the molecules at the aligning layer surface. The tilt angle of the preferred direction is also called the pretilt angle (or tilt-bias angle). Torques from the bulk can reorientate the director at the aligning surface when the anchoring of the molecules is not infinitely strong. In this case we have an elastic coupling which is described by the surface energy.

Dissipation Function: The modeling of the time dependent behavior of the LC-layer requires additional expressions. These are the dissipation functions which take into account the energy dissipation due to internal friction [11].

Stable Configurations

When a constant voltage or a constant charge is applied to the LC-layer, the director relaxes from an initial configuration to a stable equilibrium configuration which is characterized by the minimum of the total energy. In the case of constant charge (Dz = const.) stable director configurations are given by minima of the Helmholtz-energy

				 						(4)

while at constant voltage the Gibb’s-energy

						(5)

must be minimized. The necessary condition for a stable equilibrium state is that the first variation vanishes. This yields the Euler differential equations for the unknown tilt and twist functions. It can be shown that the Euler equations derived from WH and from WG are identical [13]. Thus calculating equilibrium states means either minimization of the total energy of the system or solving the Euler equations.

Calculating Stable Configurations: Apart from a few simple cases the director configurations must be calculated numerically. This can be done either by numerical integration of the differential equations or by using a suitable relaxation method. The latter class of methods also allows the simulation of the time dependent behavior in a natural way by use of adequate dissipation functions. The relaxation methods start with an initial director configuration which is either a previously calculated equilibrium state or just a first guess. Then in a first step, a new, more relaxed configuration is calculated using equations derived from the discretized differential equations or the discretized energy expression. This process is repeated until the newly computed configurations do not show significant changes. Then, an equilibrium state is reached. A suitable discretization of the differential equations or the energy is crucial for efficient calculation of director states. Discretization means that the unknown function describing the director configuration (e.g. tilt and twist angle) are replaced by piecewise defined, in general simple functions (often linear). As long as they are well chosen and the distance over which they are defined is small enough, good approximations can be obtained. The parameters of the approximating functions are then varied until an equilibrium state is reached. The parameters are often expressed as functional values at certain (discrete) positions in space and time.

Dynamic Behavior

When a voltage is switched ON or OFF or when a sequence of different voltage levels is applied e.g. in multiplex operation, the director configuration changes and tries to approach the steady-state corresponding to the actual voltage level. Since nematic LCs are viscous fluids it is necessary to know at least the rotational viscosity for simulation of the dynamic behavior. More detailed modeling includes lateral flow-effects in the LC-layer for which also the shear viscosity coefficients have to be known. If a relaxation method is used with the dissipation functions involving the viscosity parameters, the time dependent director configurations can be computed on a physical time-scale. The relaxation process then generates a sequence of director configurations, where each configuration corresponds to a certain moment in time.

Uniqueness of director configurations

The equations for determination of the director configurations are nonlinear. This gives rise to multiple solutions for the director field describing the director configuration at certain voltage levels. Highly twisted STN-LCDs for example can show a small voltage range close to the threshold where bistability exists. Zero-field bistability effects with infinite holding-times are promising candidates for LCDs in mobile battery operated applications.

LC-Optics

Up to now we considered only the LC-layer between the alignment layers and the conductive layer. An electro-optical effect, visible for the human eye can only be achieved if either dichroic dyes are added to the LC-material or alternatively when sheet polarizers are attached to the LC-cell in order to obtain changes in light intensity (the human eye is not sensitive to changes of the polarization state caused by the voltage induced reorientation of the LC-layer). The light reflected and transmitted by LCDs depends more or less on the wavelength and the direction of light propagation. These often undesirable effects can be reduced by additional optical elements like retarder sheets or a second compensating LC-layer. The modeling of the optics of LCDs must therefore take into account the multilayer stack character of the LCD and must also include the modeling of the single LC-layer, polarizer, retarder, glass, alignment layer, and (transparent) conductive layer.

The optical model of the LC-layer is an inhomogeneous uniaxial medium, where inhomogeneous means that the orientation of the director (= local optic axis) varies in space. Addition of dichroic dyes to the non-absorbing LC-material are taken into account by the imaginary parts of the refractive indices.

A simple but in most cases sufficient model for the polarizer is a uniaxial medium with different imaginary parts. They are responsible for the propagation and polarization direction dependent extinction of the passing light wave. The real parts of the refractive indices are less important and can be set alike. The optic axis lies in the plane of stratification.

Retarders in contrast to polarizers have different real parts of the refractive indices. The absorption can often be neglected. The retarders can also be biaxial and inhomogeneous [14, 15].

The other layers mentioned above can be treated as isotropic layers, eventually with absorption (e.g. glass substrates, ITO electrode, etc.).

One-Dimensional Solutions

If the thickness of the LC-layer is small compared to its lateral extensions, the one-dimensional model is sufficient. Even if this condition is not fulfilled, the one-dimensional simulation can give at least an idea of the basic electro-optical behavior. In the following we present methods for calculations of static and dynamic director configurations and methods for calculation of the optical quantities of interest.

LC-Deformation

Integration methods: Integration methods are useful when "hunting" for static director configurations [16]. The problem can be described by two Euler differential equations and the boundary conditions for both alignment layers, so that it is mathematically a boundary value problem. The task is two fulfill the differential equations within the bulk and also the boundary conditions at the same time. In order to do that, one can replace the boundary value problem by an initial value problem. Numerical integration starts from one side of the LC-layer with the boundary conditions fulfilled on that side. The integration is done over the layer with an initial guess for some other integration parameters (i.e. “shooting”). The integration parameters are systematically varied until the boundary conditions are fulfilled on both sides.

Relaxation methods: Relaxation methods belong to the other class of methods. Either the energy of the LC or the corresponding Euler differential equations are discretized in the first step. For that it is necessary to find a suitable representation of the director . The natural representation is given by two angles, the tilt angle and the twist angle . Alternatively the director can be expressed by its three cartesian components nx, ny, and nz. This commonly used The discretization subdivides the LC-layer into a sufficiently large number of sublayers so that the unknown functions describing the director configuration (i.e. tilt and twist or cartesian components) are locally well approximated by suitable simple functions (e.g. linear functions). The variable parameters are then given by the function values at the interfaces between adjacent sublayers, and usually replacing the spatial derivatives by differences of these function values. Discretizing every sublayer results in a set of linear equations for the function values at distinct locations.

The relaxation method generates a new director configuration in each iteration step. The dissipation functions mentioned above include derivatives of the cartesian director components (or tilt and twist angles) with respect to time. Suitable discretization in time results in director configurations at a new time step. A simple discretization scheme is "forward Euler", with the time derivative replaced by a simple difference. This method however is not very accurate and more important it is numerically instable which means that time step must kept very small to avoid artifacts like oscillations in the director configurations. The so called implicit or semi-implicit discretization schemes require much more numerical calculations for each iteration step but they are numerically stable. Larger steps are possible so that the additional calculations are more than compensated.

It should be stressed that a proper discretization is crucial for the accuracy of the method. The advantage of the commonly used cartesian component representation is the simplicity of the expressions of the Euler equations or energy. Moreover they are more accurate in the high tilt region than the tilt and twist representation with a spatially linear approach. However the approach is less elegant since 3 rather than the 2 variables, necessary for describing the director, are used. Equations for all 3 components must be applied for the next iteration step so as if the 3 components were independent. Thus after every iteration step a normalization of the director is necessary. Moreover the condition is only fulfilled at the interfaces between the sublayers and not within the sublayers. On the other hand the problems of the tilt and twist representation in the high tilt region can be solved by suitable nonlinear functions.

Dissipation functions do not necessarily define the relaxation method. Less physical methods like the Newton-Raphson method or the related Levenberg-Marquardt method can be applied [17, 18, 19]. They require additional information derived from the Euler equations or energy expressed as Jacobian matrix or Hesse matrix. These methods converge rapidly to the equilibrium state, but the director configurations generated through the iteration process can not be associated with any time level, except for the equilibrium state which corresponds to .

Graphical representation of the director configuration: The midplane tilt angle m is a scalar quantity which can represent the deformation of symmetric LCDs (same tilt angle on both substrates) quite well. m as a function of the applied voltage (also called electro-distortional curve [20]) shows important characteristics like threshold voltage (voltage level where m increases rapidly) and steepness (Figure 1).

Electro-optical characteristics: Highly multiplexed LCDs require a steep electro-optical curve which implies a steep electro-distortionaI curve. This can be achieved with higher twisted LCDs, the STN-LCDs (Figure 2). A suitable choice of material parameters can further improve the steepness. Very highly twisted LCDs like the 270° cell show even bistability in a small voltage range which means two stable equilibrium states are possible at a given voltage. S-shaped electro-distortional curves indicate such a bistability. Another parameter which strongly influences the steepness is the surface coupling elasticity [21].

Director configurations with a negative slope of the curve are nonstable equilibrium states under constant voltage driving. These solutions are only accessible at constant charge across the LC-layer. This shows that the stability conditions at constant voltage and constant charge are different. It can be shown that equilibrium states stable at constant voltage are also stable at constant charge but not vice versa [18].

Thurston's Geodesic Surface

Another choice for representation of the director configuration is a mapping of the director onto a curved surface, whose shape is given by the ratio of the elastic constants K33/K11 and K33/K22 [23, 24, 25]. If these ratios are unity, the surface becomes a sphere. Other ratios of the elastic constants result in deformations of the spherical shape but rotational symmetry is always maintained. The director is represented by a point on that surface so that the entire director configuration across the LC-layer becomes a path. The azimuthal position corresponds to the twist angle while the vertical position increases with the tilt angle. At 0° pretilt the path is a circular arc around the equator, since the tilt angle remains 0° throughout the LC-layer. The 90° tilt state (i.e. homeotropic state) is mapped to north pole of the surface.

What is so special with the geodesic surface? The surface orientation on both substrates corresponds to two points on the surface. There is an infinite number of possible paths that start and end at these fixed points, but only the shortest path corresponds to a stable equilibrium state (see Figure 3 ).

The geodesic surface representation allows us to check which equilibrium states are possible and whether they are stable or not. It also makes a distinct difference between topologically equivalent and not-equivalent states. All director configurations (paths) with the same end-points are topologically equivalent. Transitions between topologically non-equivalent states are only possible via discontinuities (inversion walls, other singularities). However the drawback of this representation is that the relation shortest path = stable equilibrium state does not hold when an electric field is present or when the LC is doped with chiral additives.

LC-Optics

The optical properties of multilayered anisotropic media such as liquid crystal cells have been studied for a long time. Physical models for the optics of liquid crystals have been developed from the beginning of the century. The optics of cholesteric materials were studied by several authors like Mauguin [26], Oseen [27] and de Vries [28]. In 1941, Jones [29] published a 2x2 matrix method for calculating the optical properties of general multilayered anisotropic media at normal light incidence. 4x4 matrix methods were developed by Smith [30] and Berreman [31] which made the calculation at oblique incidence possible. Jones 2x2 matrix method was further improved by Gharadjedaghi [32] and Yeh [33] to cope with oblique incidence. Later on, other 4x4 matrix methods were developed [34, 35].

These matrix methods allow the calculation of the optical properties of general birefringent multilayers with arbitrary orientation of the index ellipsoid in each layer. This flexibility made the matrix methods very attractive for the computation of LCD optics, since polarizers, retarders and of course the LC-layer itself with the arbitrary optic axis orientation can be treated in a systematic way.

There are only a few special cases where a closed form solution is known. Of practical interest are the homogeneous medium and the linearly twisted medium where the optic axis rotates linearly along the cell normal. We call these two types basic elements since the optic devices with which we are concerned here can be constructed from these elements.

The change of the polarization state of the light wave traveling through a stack of birefringent layers can be visualized by a path on the Poincaré sphere. The path caused by the basic elements, at normal incidence, can be constructed easily. This makes the Poincaré sphere attractive for the analysis and design of LCDs with retardation foils.

4x4 matrix methods

We begin with the discussion of the 4x4 matrix methods because they are more general and since they can be used as a starting point for the derivation of the 2x2 matrix methods.

Characteristic Matrix Method: Abeles’ 2x2 characteristic matrix method [36] for isotropic media was extended for anisotropic layered media, by Smith [30], resulting in a 4x4 matrix method. Later, Teitler and Henvis and Berreman re-invented this method and applied it successfully to the simulation of the optics of LCDs [37, 31]. More recent modifications of the 4x4 characteristic matrix methods have been developed by Wöhler [40], and Eidner [41] and Berreman [47, 48].

For stratified media Maxwell’s curl equations reduce to the following set of 4 linear differential equations of first order:

,							(6)

with and .  is a 4x4 matrix that depends on the index ellipsoid. The solution of Maxwell’s equations for a layer can be written in the following form:

.						(7)
 is the characteristic 4x4 matrix which relates the tangential components of the electric and magnetic fields at levels and with  , the thickness of the layer i. A possible representation of the characteristic matrix of a single layer is given by the product of three matrices:
.						(8)

The columns of  are the 4 eigenvectors of  and is a diagonal matrix (propagator matrix).

The characteristic matrix of multilayered medium is given by the product of the characteristic matrices of all layers. From the characteristic matrix reflection and transmission can be calculated solving a linear equation.

Transfer Matrix Method: The transfer matrix method [34] starts at the second order wave equations. While the characteristic matrix method deals with the superposition of all partial waves, the transfer matrix method relates the weights of the eigenmodes at different locations across the LC-layer.

						(9)

with

	.						(10)

It should be clear that the transfer matrix T always depends on the optical parameters of two adjacent layers. The characteristic matrix on the other hand "characterizes" a special layer and therefore depends only on its own optical properties. This might be very practical when optimizing multilayer systems. Single layers can easily be included, removed or varied. The optical properties of adjacent layers are not needed which reduces also the overall "bookkeeping” efforts.

Scattering matrix method: The scattering matrix method was developed by Ko and Sambles for the study of attenuated total reflections in liquid crystals [35]. The motivation for the development of this method were problems with numerical instabilities when strong evanescent or absorbing waves occur.

2x2 Matrix Methods: The 4x4 matrix methods are much more complicated and the computation time is much larger compared to the 2x2 Jones matrix method. This caused several researchers to simplify the 4x4 formalism towards the Jones calculus. Gharadjedaghi developed a method for the optics at oblique incidence but his paper was hardly noticed [32]. In 1982 Yeh presented the "Extended Jones Matrix Method" [38]. He restricted himself to the special case where the optic axis is parallel to the plane of stratification. Not before 1990 the 2x2 matrix method was re-invented by Lien [42] and Ong [43] for application to liquid crystals with arbitrary optic axis orientation. Also Gu and Yeh recently generalized their "Extended Jones Matrix Method" [44].

The 2x2 formalism can be derived from the 4x4 matrix method by neglecting multiple reflections. This is the key to the simplification. The 4x4 method always deals with four quantities simultaneously, e.g. the four weights of the two forward and two backward propagating eigenwaves. The forward propagating waves in an arbitrary sublayer are affected by the backward propagating waves due to multiple reflections at the interfaces.

This fact is expressed by a 4x4 matrix. Since all eigenwaves in all sublayer may contribute to the waves of a single sublayer the optics of a multilayer is not determined before all layers are processed. Neglecting multiple reflections decouples forward and backward propagating waves reducing the 4x4 formalism to a 2x2 calculus. The polarization state in a sublayer is determined only by the preceding sublayers.

Another way for constructing 2x2 matrix methods is from bottom up. At the entrance of each layer the refracted wave is decomposed into two eigenwaves of the layer. With the 2x2 propagator matrix (diagonal matrix with phase terms) the eigenwaves at the exit of the medium are calculated. A further decomposition of the field vectors onto the directions parallel and perpendicular to the plane of incidence gives the two amplitudes of the light wave leaving the layer. This process is repeated for the next layers. Loss caused by reflections at each interface can be considered by using the Fresnel formulas at each interface.

Comparison between 2x2 and 4x4 Matrix Methods: The main difference between both methods is that the 2x2 formalism neglects reflections. What is the optical effect of multiple reflections? When calculating the spectrum of reflectance or transmittance for different values of e.g. the angle of incidence one may observe "high frequent" oscillations superposed to a rather smooth curve.

Most light sources used for LCD illumination have a finite bandwidth, some even being “white light” sources (no perfectly monochromatic coherent light as assumed in the computations). Moreover the thickness of the LC-layer varies slightly with the position across the layer plane. These are two reasons for measuring usually smooth curves without high frequent oscillations as obtained with calculations. Thus when using 4x4 matrix methods in comparison with experimental data some kind of averaging is necessary at the cost of extra calculation time.

There are several ways to obtain “smooth curves”. A straightforward approach is to average over several wavelength values near the wavelength of the source. This is the most time consuming way. Yang eliminated most of the oscillation by matching the index of refraction of the surrounding medium (usually air) to that of the polarizers [41]. This is a simple though very effective method since the largest difference of the refractive index is at the air-polarizer interface. The single reflections of all these interfaces are calculated from the Fresnel formulas. Recently Berreman introduced apodizing layers located at interfaces where large differences of the refractive index occur [47, 48]. This is a less time consuming approach but it requires special care to critical layers with interfaces where the change of the index of refraction is large.

Poincaré Sphere: The polarization state of a light wave is determined by two parameters. One set of parameters is the ratio of the amplitudes and the phase difference. Another set is the ellipticity of the ellipse of polarization and the angle which specifies the orientation of the ellipse. The Stokes parameters (see e.g. [49]) as a further set are originally introduced for the study of partially polarized light.

If we restrict ourselves to lossless media and if we neglect reflections at the boundaries in the case of multilayered media, the intensity remains constant throughout the entire stack of layers. Therefore the change of polarization can be represented by a path on a sphere (Poincaré sphere with a radius of one, see Figure 4). The extrema of polarization are (1) linearly polarized light corresponding to points on the equator and (2) left and right-handed circularly polarized light at north and south pole respectively.

The Poincaré sphere description can be used for the design of LCDs. The effect of retardation films on the optical properties, for example, can be visualized easily and one can imagine what happens when the retardation or the orientation of the retarder is varied. Further applications of the Poincaré sphere description are the design of birefringent optical filters [51].

More-Dimensional Solutions

Up to now we considered one-dimensional problems were the only allowed spatial variation was along the normal to the LCD. If the pixel size becomes very small, the homogeneity along the pixel reduces and domains with different director orientations can occur. The in-plane switching effect is a typical two-dimensional problem which can not be analyzed with the above discussed one-dimensional methods alone. The methods for the calculation of both the director configuration and the optics are much more complicated and time consuming, compared to the one-dimensional problem.

As in the one-dimensional case the energy or the corresponding Euler equations must be discretized. This time however on a two- (or three-dimensional) grid. One can derive relaxation methods dealing with the elastic and electro-static energy. A special problem of the more dimensional case is the mutual dependence of the director orientation and the electrostatic potential distribution. A simultaneous relaxation of the director configuration and change of the potential is not possible for larger grids. A practical approximation for such a relaxation procedure is as follows:

1 assign initial values to the director distribution, 2 (with fixed director field) calculate the electro-static potential distribution, 3 (with fixed potential distribution) calculate a new director configuration by relaxation 4 (with fixed director field) calculate the new potential distribution 5 go to step 3 and repeat until (error < limit)

An alternative to that Finite Difference Method (FDM) is the Finite Element Method (FEM) which uses a mesh rather than a grid [52]. The mesh can be generated automatically and adapted to the geometry (LC-layer, electrodes, TFTs, etc.) more easily. Moreover it can be refined locally to assure accuracy (see Figure 5). There exist a lot of shapes of the elements and one can mix different shapes if it is suitable for the geometry.

The calculation of the optical properties require the solution of Maxwell's equations. One can discretize Maxwell's equations in a similar way as the Euler equations [53].

Basic problems of LCD-modeling in three dimensions

While a model of an LCD is quickly defined in one dimension (only the thickness of the layers is important besides the material parameters), a detailed cross-section through the region of interest has to be entered and edited in the two-dimensional case. After input of the geometry of the problem, the structures have to be specified with respect to their material (i.e. isotropic dielectric material, ideal electrode, liquid crystal) and with respect to the alignment properties (i.e. orientational boundary conditions and anchoring elasticity). After definition of all required aspects a suitable mesh is generated and locally refined to assure numerical accuracy. Then the initial director configuration is allowed to relax into a stable state of equilibrium before an electric field is applied to the electrodes and the director configuration relaxes into a new state of equilibrium [54]. For example, Figure 6 shows the director configuration and the corresponding transmittance of an in-plane switching (IPS) cell in the OFF-state. When the center electrode is switched ON, the directors reorientate towards the plane of the cross section. Figure 7 shows the IPS cell after 50 msec.

The problems related to definition of the geometry become even more severe in the three dimensional case; here, a complex 3D geometry editor is required together with a postprocessor for definition of material properties, alignment parameters and initial director configurations. Practical experience implies that ionic impurities in the LCD-layer may have a considerable effect on the electro-optical performance of state-of-the-art high resolution LCD-screens. In order to provide a complete model of such display devices, ionic effects should also be included in the model [55].

Finally, the number of node variables that describe the elastic and electric energy of the system increases so much that computing power and storage capacities become severe issues.

When after a certain while (depending on the power of the computer) a stable equilibrium configuration is found, it should be checked, if there are other similar configurations with a lower total energy.

Once an acceptable equilibrium configuration is evaluated in three dimensions, the respective optical properties can finally be analyzed.

Rapid lateral variations of the nematic director (e.g. in micro-LCDs, high-resolution monitor LCDs, both with small lateral dimensions) resulting in rapid variations of the refractive index of the LC-material lead to diffraction effects which are not taken into account by optics methods for stratified media (Berreman, Jones, etc.). Alternative optics approaches are:

1 finite-difference time-domain method (FDTDM) [53, 56, 57], 2 (wide-angle) beam propagation method (BPM) [58], 3 (reduced-order) grating method (R-GM) [59, 60].

Comparison of measured and calculated transmission curves (as a function of the lateral position) provides insight into details of the local director field [61] in cases of ambiguities (i.e. several stable solutions).

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