WebLithoGAN: End-to-end Lithography Modeling with Generative Adversarial Networks High Distinction American University of Beirut Jun 2014 Dean's Honor List in all terms ... Webveloped a GAN-based LithoGAN, to map the input mask and output resist pattern. [20] proposed a two-stage DNN-based framework, solving the mask-to-SEM prediction as a domain-transfer problem and using CycleGAN [21] to learn the transferring process. Although DNN models usually have the comparative speed ad-

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Web1 jun. 2024 · Representative cGAN applications in VLSI include GAN-OPC [9] and LithoGAN [14]. The former is designed for layout mask synthesis and the latter focuses … Web1 jan. 2024 · LithoGAN: End-to-End Lithography Modeling with Generative Adversarial Networks. Authors: Ye, Wei; Alawieh, Mohamed Baker; Lin, Yibo; Pan, David Z. Award ID(s): 1718570 Publication Date: 2024-01-01 NSF-PAR ID: 10109823 Journal Name: ACM/IEEE Design Automation Conference irene\u0027s theme violin sheet music

人工智能赋能半导体制造业 – 从OPC说开去 - 知乎

Web06/2024: My co-authored paper “LithoGAN: End-to-end Lithography Modeling with Generative Adversarial Networks” was selected as a Best Paper Award Candidate @ DAC'19! 03/2024: My co-authored paper “Litho-GPA: Gaussian Process Assurance for Lithography Hotspot Detection” was accepted @ DATE 2024. WebNSF Public Access Webat the scenario of limited data access. LithoGAN [8] introduced conditional generative adversarial networks (CGAN) to predict resist image directly from mask patterns. … irene\u0027s theme小提琴谱