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Optical proximity correction

Optical proximity correction is a physics topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Optical proximity correction rather than just read about it. In short: 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.

Optical proximity correction — main illustration
Optical proximity correction — illustration

Key takeaways

  • Optical proximity correction belongs to physics; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Optical proximity correction to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Optical proximity correction from memory before moving on to harder problems.

Reference excerpt

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 the original layout drawn by the designer on the semiconductor wafer as well as possible. 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 λ / N A , {\displaystyle 0.61\lambda /NA,} where N A {\displaystyle NA} is the numerical aperture and λ {\displaystyle \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 , {\displaystyle k_{1},} such that feature width equals k 1 λ / N A . {\displaystyle k_{1}\lambda /NA.} Nested features with k 1 < 1 {\displaystyle 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.

Impact of illumination and 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 σ {\displaystyle \sigma } . 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 λ / ( σ N A ) . {\displaystyle 0.5\lambda /(\sigma NA).} 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 σ {\displaystyle \sigma } close to 1. A related point is that the use of OPC does not change the illumination requirement. If off-axis illumination is required, OPC cannot be used to switch to on-axis illumination, because for on-axis illumination, imaging information is scattered outside the final aperture when off-axis illumination is needed, preventing any imaging.

Impact of aberrations Aberrations in optical projection systems deform wavefronts, or the spectrum or spread of illumination angles, which can affect the depth of focus. While the use of OPC can offer significant benefits to depth of focus, aberrations can more than offset these benefits. Good depth of focus requires diffracted light traveling at comparable angles with the optical axis, and this requires the appropriate illumination angle. Assuming the correct illumination angle, OPC can direct more diffracted light along the right angles for a given pitch, but without the correct illumination angle, such angles will not even arise.

Impact of multiple exposure As the k 1 {\displaystyle 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, where the images of an alternating-aperture phase-shifting mask and a conventional binary mask are added together.

… excerpt ends here. Continue reading the full article.

Illustrations

Optical proximity correction: An illustration of OPC (Optical Proximity Correction). The blue Γ-like shape is what chip designers would like printed on a wafer, in green is the pattern on a mask after applying optical proximity correction, and the red contour is how the shape actually prints on the wafer (quite close to the desired blue target).
An illustration of OPC (Optical Proximity Correction). The blue Γ-like shape is what chip designers would like printed on a wafer, in green is the pattern on a mask after applying optical proximity correction, and the red contour is how the shape actually prints on the wafer (quite close to the desired blue target).
Optical proximity correction: 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).
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).
Optical proximity correction: Optical proximity correction of a main circuit and its assist features.
Optical proximity correction of a main circuit and its assist features.
Optical proximity correction: Assist feature OPC. The use of assist features match isolated feature images closer to dense feature images, but the assist features may themselves print accidentally.
Assist feature OPC. The use of assist features match isolated feature images closer to dense feature images, but the assist features may themselves print accidentally.
Optical proximity correction: Defocus effect on SRAFs. Defocus can still limit the benefits of assist features, by allowing their printing.
Defocus effect on SRAFs. Defocus can still limit the benefits of assist features, by allowing their printing.

Worked examples

Example 1 — a first encounter with Optical proximity correction

Start with the simplest possible case. Write down what Optical proximity correction claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In physics, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Optical proximity correction before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Optical proximity correction ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Optical proximity correction

In research
Optical proximity correction appears in physics research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Optical proximity correction in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Optical proximity correction is common in secondary-school and first-year university syllabi. It links to neighbouring topics Lithography (microfabrication), so understanding it makes those chapters shorter.
In everyday life
Look for Optical proximity correction outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Optical proximity correction in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Optical proximity correction means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Optical proximity correction out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Optical proximity correction in simple terms?

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 place…

Why does Optical proximity correction matter?

Because it connects several physics ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Optical proximity correction?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Optical proximity correction.

Tags

  • Lithography (microfabrication)

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