Abstract: We propose a UNet-based foundation model and its self-supervised learning method to address two key challenges: 1) lack of qualified annotated analog layout data, and 2) excessive variety in ...
Abstract: Ferroelectric random access memory (FeRAM) is a promising candidate to further dynamic random access memory (DRAM) scaling. However, the design of the FeRAM bit cell is nontrivial as the ...
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