Systems, methods and computer program products for obtaining...

Computer-aided design and analysis of circuits and semiconductor – Nanotechnology related integrated circuit design

Reexamination Certificate

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C716S030000, C716S030000

Reexamination Certificate

active

06484300

ABSTRACT:

FIELD OF THE INVENTION
This invention relates to systems, methods and computer program products for designing, testing and fabricating integrated circuits, and more particularly to systems, methods and computer program products for determining a density of a pattern in an integrated circuit and for simulating a chemical-mechanical polishing process using the density that was determined.
BACKGROUND OF THE INVENTION
Present-day Ultra-Large Scale Integration (ULSI) integrated circuits may include hundreds, thousands or millions of interconnected active and passive electronic devices in an integrated circuit chip. The large capital investment to fabricate and test these ULSI circuits prior to sale, and the difficulty, expense and/or loss of goodwill associated with reworking and replacing integrated circuits that fail to operate as planned, have increased the need to accurately simulate the design and fabrication of integrated circuits prior to their fabrication.
In fabricating integrated circuit devices, a plurality of patterned layers, such as wiring layers, generally are formed on a wafer. The patterned layer may cause a relative height difference, often referred to as a step difference, between the patterned and non-patterned areas of the layer. This step difference may increase with the number of layers that are formed, the fineness of the pattern and/or the increase in the level of integration. As is well known to those having skill in the art, an increased step difference can cause failure in many individual integrated circuit fabrication steps, and may also degrade the operating characteristics of the integrated circuit. Accordingly, it is known to provide planarization technology to reduce and preferably minimize the step differences that occur during fabrication of an integrated circuit. Chemical-mechanical polishing (CMP) is a widely used planarization technology.
CMP may be carried out using an apparatus such as that shown in
FIG. 1
to planarize integrated circuits as shown in
FIGS. 2A and 2B
. Referring to
FIG. 1
, a wafer containing integrated circuits to be planarized is mounted on a wafer carrier
150
. As shown in
FIG. 2A
, the wafer may include an integrated circuit substrate
210
on which a patterned layer
220
, such as a metal wiring layer is formed. A planarization layer
230
is formed on the patterned layer
220
. In order to perform the CMP process, the wafer carrier
150
is rotated about an axis
160
, while a platen
120
on which a polishing pad
110
is mounted, also is rotated about an axis
130
. A polishing slurry
170
is disposed on the polishing pad
110
, so that the wafer
140
is exposed to a chemical polishing process, in addition to the mechanical polishing due to the friction between the polishing pad
110
and the wafer
140
. By performing CMP for a predetermined period of time, the thickness of the planarization layer
230
of
FIG. 2A
may be reduced, resulting in a polished planarization layer
235
, as shown in
FIG. 2B
, that is generally more planar than the initial planarization layer
230
of FIG.
2
A.
Unfortunately, the results of a CMP process may vary depending on several parameters including polishing time, velocity of the platen
120
, velocity of the wafer carrier
150
, downward polishing pressure of the wafer
140
on the polishing pad
110
, and/or the elastic modulus of the polishing pad
110
. Accordingly, in certain cases, the CMP may cause a dishing phenomenon (portion A of
FIG. 2B
) to occur where a region of the planarization layer
235
without a pattern is depressed, or may cause a thinning phenomenon (portion B of
FIG. 2B
) to occur where fine patterns are polished by the CMP. Accordingly, it is desirable to improve and preferably optimize the above-parameters, to reduce and preferably minimize dishing and/or thinning. Unfortunately, the optimization of these parameters may be a difficult and time consuming task, which may require numerous test runs of the CMP process.
Thus, in order to reduce the time and/or labor involved in determining the parameters through multiple CMP test trials, analytical modeling or simulation using computers has been devised. However, such analytical modeling or simulation should provide accurate prediction within a reasonable time.
U.S. Pat. No. 5,552,996 to Hoffman et al. describes a method and system that can facilitate the control of an IC chip fabrication level of an IC chip fabrication process based upon the design pattern of the IC chip being fabricated. A grid having multiple sections is imposed over the design pattern of a fabrication level of the IC chip. Then, pattern density values are automatically established for the design pattern contained in each section of the grid. The IC chip fabrication level is then controlled based upon the pattern density values. For example, the established pattern density values facilitate the automatic determination of a CMP process stop parameter, or the automatic compensation for etch rate variations caused by pattern density differences across the design pattern of the IC chip.
Moreover, a publication by Takahashi et al. entitled
Modeling of Chemical Mechanical Polishing Process for Three-Dimensional Simulation
, 1997 Symposium on VLSI Technology, June 1997, pp. 25-26, describes a new model of CMP planarization. Machine time of actual calculation can be estimated less than {fraction (1/100)} of Finite Element Method and the simulation is in excellent agreement with experimental results. This model provides a physical image of planarization for three-dimensional surface profile during CMP. Furthermore, an optimized LSI chip layout or an appropriate processing condition can be estimated. In particular, this method can incorporate the data from adjacent meshes that surround a specified mesh.
Notwithstanding the above discussion, there continues to be a need for systems, methods and/or computer program products that can accurately simulate CMP results. Moreover, conventional simulators may carry out simulations on an integrated circuit chip level of a wafer, rather than over the entire wafer. Because tens or more of integrated circuit chips are repeatedly fabricated with the same pattern in a wafer, the CMP results over the entire wafer may be predicted based on the CMP results with respect to only one chip. However, wafers may be asymmetric due to a flat zone thereof, and/or the different patterns that may exist at the wafer periphery, where integrated circuits are not found.
SUMMARY OF THE INVENTION
Embodiments of the present invention can provide systems, methods and/or computer program products that can obtain an effective pattern density of a layer of an integrated circuit from layout data that defines the layout. A grid of pattern cells is defined for the layout data. A respective pattern density is determined for a respective pattern cell in the grid. An effective pattern density is calculated for a first pattern cell in the grid. The effective pattern density for the first pattern cell is a function of the pattern density of at least a second pattern cell in the grid that is remote from (i.e. nonadjacent) the first pattern cell, and a distance of the at least a second pattern cell from the first pattern cell. Adjacent cells also may be included and preferably are included, in the effective pattern density.
In other embodiments, a weighted average pattern density of a plurality of pattern cells in the grid around the first pattern cell and including the second pattern cell is calculated, that is inversely weighted as a function of the respective distances of the plurality of pattern cells from the first pattern cell. In yet other embodiments, the respective patterned densities of the respective plurality of pattern cells is multiplied by a weighted value that is inversely proportional to respective distances of the plurality of pattern cells from the first pattern cell and by the pattern density of the first pattern cell, to obtain a respective weighted pattern density for a respective one of the plurality of pattern cells.

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