Optical proximity correction

An illustration of optical proximity correction. The blue Γ-like shape is what we'd like printed on the wafer, in green is the shape after applying optical proximity correction, and the red contour is how the shape actually prints (quite close to the desired blue target).

Optical proximity correction (OPC) is a photolithography enhancement technique commonly used to compensate for image errors due to diffraction or process effects. The need for OPC is seen mainly in the making of semiconductor devices and is due to the limitations of light to maintain the edge placement integrity of the original design, after processing, into the etched image on the silicon wafer. These projected images appear with irregularities such as line widths that are narrower or wider than designed, these are amenable to compensation by changing the pattern on the photomask used for imaging. Other distortions such as rounded corners are driven by the resolution of the optical imaging tool and are harder to compensate for. Such distortions, if not corrected for, may significantly alter the electrical properties of what was being fabricated. Optical proximity correction corrects these errors by moving edges or adding extra polygons to the pattern written on the photomask. This may be driven by pre-computed look-up tables based on width and spacing between features (known as rule based OPC) or by using compact models to dynamically simulate the final pattern and thereby drive the movement of edges, typically broken into sections, to find the best solution, (this is known as model based OPC). The objective is to reproduce in the silicon wafer, as well as possible, the original layout drawn by the designer.

The two most visible benefits of OPC are correcting linewidth differences seen between features in regions of different density (e.g., center vs. edge of an array, or nested vs. isolated lines), and line end shortening (e.g., gate overlap on field oxide). For the former case, this may be used together with resolution enhancement technologies such as scattering bars (sub-resolution lines placed adjacent to resolvable lines) together with linewidth adjustments. For the latter case, "dog-ear" (serif or hammerhead) features may be generated at the line end in the design. OPC has a cost impact on photomask fabrication whereby the mask write time is related to the complexity of the mask and data-files and similarly mask inspection for defects takes longer as the finer edge control requires a smaller spot size.

Impact of resolution: the k1 factor

The conventional diffraction-limited resolution is given by the Rayleigh criterion as 0.61\lambda/NA, where NA is the numerical aperture and \lambda is the wavelength of the illumination source. It is often common to compare the critical feature width to this value, by defining a parameter, k_1, such that feature width equals k_1\lambda/NA. Nested features with k_1<1 benefit less from OPC than isolated features of the same size. The reason is the spatial frequency spectrum of nested features contains fewer components than isolated features. As the feature pitch decreases, more components are truncated by the numerical aperture, resulting in greater difficulty to affect the pattern in the desired fashion.

OPC applied to contact pattern. Due to the edge modification in the mask layout (top), the center contact in the right column is undersized in the wafer printed image (bottom).

Impact of spatial coherence

The degree of coherence of the illumination source is determined by the ratio of its angular extent to the numerical aperture. This ratio is often called the partial coherence factor, or \sigma.[1] It also affects the pattern quality and hence the application of OPC. The coherence distance in the image plane is given roughly by 0.5\lambda/(\sigma NA).[2] Two image points separated by more than this distance will effectively be uncorrelated, allowing a simpler OPC application. This distance is in fact close to the Rayleigh criterion for values of \sigma close to 1.

Impact of multiple exposure

As the k_1 factor has been steadily shrinking over the past technology generations, the anticipated requirement of moving to multiple exposure to generate circuit patterns becomes more real. This approach will affect the application of OPC, as one will need to take into account the sum of the image intensities from each exposure. This is the case for the complementary photomask technique,[3] where the images of an alternating-aperture phase-shifting mask and a conventional binary mask are added together.

Impact of multiple-etch patterning

In contrast to multiple exposure of the same photoresist film, multiple layer patterning entails repeated photoresist coating, deposition, and etching to pattern the same device layer. This gives an opportunity to use looser design rules to pattern the same layer. Depending on the lithography tool used to image at these looser design rules, the OPC will be different. Multiple-etch patterning may become a popular technique for future technology generations. A specific form of multiple-etch patterning, using sidewall sacrificial features, is currently the only demonstrated way of systematically patterning features less than 10 nm.[4] The minimum half-pitch corresponds to the deposited thickness of the sacrificial feature.

OPC application today

Today, OPC is rarely practiced without the use of commercial packages from electronic design automation (EDA) vendors. Advances in algorithms, modeling techniques and the use of large compute farms has enabled the most critical patterning layers to be corrected overnight, starting from the 130 nm design rules (when model based OPC was first used) [5] down to the most advanced designs of today using 32 nm design rules. The number of layers requiring sophisticated OPC has increased with advanced nodes, as previously non-critical layers now require compensation.

The use of OPC is not restricted to the low k_1 features which are commonly encountered today, but can be applied to any desired image correction scheme which can be modeled accurately. For example, proximity effect correction in electron beam lithography is included as an automated capability on commercial electron-beam lithography tools. Since many non-lithographic processes exhibit their own proximity effects, e.g., chemical-mechanical polishing or plasma etching, these effects can be mixed in with the original OPC.

See also

References

  1. ↑ K. Ronse et al., J. Vac. Sci. and Tech. B, vol. 12, pp. 589-600 (1994).
  2. ↑ B. E. A. Saleh and M. C. Teich, Fundamentals of Photonics, pp. 364-5 (Wiley, 1991).
  3. ↑ M. E. Kling et al., Proc. SPIE vol. 3679, pp.10-17 (1999)
  4. ↑ Y-K Choi et al., J. Phys. Chem. B, vol. 107, pp. 3340-3343 (2003).
  5. ↑ J. Stirniman and M. Rieger. Fast proximity correction with zone sampling. Proc. SPIE Vol 2197, pp 294-301, (1994).

External links

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