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Information theoretical approaches in computational lithography.

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    This summary is machine-generated.

    This study introduces information theory to computational lithography, enhancing optical lithography systems. It models information transfer to optimize imaging performance and improve optical proximity correction (OPC) solutions.

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    Area of Science:

    • Semiconductor Manufacturing
    • Computational Lithography
    • Information Theory

    Background:

    • Computational lithography is crucial for advancing optical lithography imaging performance.
    • Existing methods for optical proximity correction (OPC) can be further optimized.
    • Understanding information transfer in partially coherent systems is key to improving lithographic fidelity.

    Purpose of the Study:

    • To develop a novel computational lithography approach using information theoretical channel modeling.
    • To establish a statistical model for information transfer between mask and print images in partially coherent systems.
    • To determine the theoretical limits of image fidelity for OPC and enhance existing solutions.

    Main Methods:

    • Developed an information theoretical channel model for partially coherent lithography systems.
    • Built a statistical model to characterize information transfer from mask to print images.
    • Calculated Optimal Information Transfer (OIT) and derived theoretical limits for image fidelity.
    • Applied information theoretical approaches to refine gradient-based OPC algorithms.

    Main Results:

    • A new information theoretical framework for computational lithography was established.
    • The optimal information transfer (OIT) in partially coherent systems was quantified.
    • Theoretical limits for image fidelity in OPC were derived.
    • Simulations demonstrated improved OPC solutions using the proposed methods.

    Conclusions:

    • The proposed information theoretical model provides a powerful new approach to computational lithography.
    • This framework enables a deeper understanding and optimization of information transfer in lithographic imaging.
    • The enhanced OPC solutions offer improved image fidelity, advancing semiconductor manufacturing capabilities.