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New AI framework enables gradient-based inverse lithography for EUV masks

By PulseAugur Editorial · [2 sources] ·

Researchers have developed a gradient-based inverse lithography technology (ILT) for extreme ultraviolet (EUV) masks. This novel framework integrates a differentiable waveguide method with a waveguide neural operator (WGNO) to act as physics engines. By employing automatic differentiation of the full forward diffraction model, the system can determine the absorber's permittivity, enabling the creation of mask structures that achieve desired fields on the wafer. AI

IMPACT This research could lead to more precise and efficient manufacturing of advanced semiconductor components.

RANK_REASON The cluster contains an academic paper detailing a new method for EUV mask fabrication using AI.

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New AI framework enables gradient-based inverse lithography for EUV masks

COVERAGE [2]

  1. arXiv cs.LG TIER_1 English(EN) · Vasiliy A. Es'kin, Egor V. Ivanov ·

    Gradient-based inverse lithography for EUV masks via the waveguide method and a physics-informed neural operator

    arXiv:2606.25753v1 Announce Type: new Abstract: Gradient-based inverse lithography technology~(ILT) for extreme ultraviolet~(EUV) masks is presented. A novel framework treats the differentiable waveguide method and the recently proposed waveguide neural operator~(WGNO) as end-to-…

  2. arXiv cs.AI TIER_1 English(EN) · Egor V. Ivanov ·

    Gradient-based inverse lithography for EUV masks via the waveguide method and a physics-informed neural operator

    Gradient-based inverse lithography technology~(ILT) for extreme ultraviolet~(EUV) masks is presented. A novel framework treats the differentiable waveguide method and the recently proposed waveguide neural operator~(WGNO) as end-to-end physics engines, recovering the permittivity…

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