Mar 12, 2022 · We introduce an dual-band optics-inspired neural network design that considers the optical physics underlying lithography.
Aug 23, 2022 · We introduce an dual-band optics-inspired neural network design that considers the optical physics underlying lithography.
Abstract. Lithography simulation is a critical step in VLSI design and opti- mization for manufacturability. Existing solutions for highly accurate.
This work introduces an dual-band optics-inspired neural network design that considers the optical physics underlying lithography and yields the first ...
To tackle these concerns, we introduce an dual-band optics-inspired neural network design that considers the optical physics underlying lithography. To the best ...
Generic lithography modeling with dual-band optics-inspired neural networks. Haoyu Yang, Zongyi Li, Kumara Sastry, Saumyadip Mukhopadhyay, Mark Kilgard ...
FNO takes an embedding tensor as the input and performs global information mixing in the Fourier domain followed by non-linearity in the input domain.
To tackle these concerns, we present a dual-band neural network design that is compliant with optical physics beneath lithography, allows via/metal layer ...
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Saumyadip Mukhopadhyay. Latest. Generic lithography modeling with dual-band optics-inspired neural networks. Published with Wowchemy — the free, ...
Lithography simulation is a critical step in VLSI design and optimization for manufacturability. Existing solutions for highly accurate ...