3 citations · 8 across the 5 of their papers we have counts for
5 papers
Optimizing Predictive AI in Physical Design Flows with Mini Pixel Batch Gradient Descent
Haoyu Yang, Anthony Agnesina, Haoxing Ren
Exploding predictive AI has enabled fast yet effective evaluation and decision-making in modern chip physical design flows. State-of-the-art frameworks typically include the object…
Convolutional Neural Networks and Volcano Plots: Screening and Prediction of Two-Dimensional Single-Atom Catalysts
Haoyu Yang, Juanli Zhao, Qiankun Wang +4
Single-atom catalysts (SACs) have emerged as frontiers for catalyzing chemical reactions, yet the diverse combinations of active elements and support materials, the nature of coord…
Physics-Informed Optical Kernel Regression Using Complex-valued Neural Fields
Guojin Chen, Zehua Pei, Haoyu Yang +3
Lithography is fundamental to integrated circuit fabrication, necessitating large computation overhead. The advancement of machine learning (ML)-based lithography models alleviates…
Transfer learning for process design with reinforcement learning
Qinghe Gao, Haoyu Yang, Shachi M. Shanbhag +1
Process design is a creative task that is currently performed manually by engineers. Artificial intelligence provides new potential to facilitate process design. Specifically, rein…
Large Scale Mask Optimization Via Convolutional Fourier Neural Operator and Litho-Guided Self Training
Haoyu Yang, Zongyi Li, Kumara Sastry +5
Machine learning techniques have been extensively studied for mask optimization problems, aiming at better mask printability, shorter turnaround time, better mask manufacturability…