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the short-wave infrared (SWIR: 1.5-3 μm) to mid-wave infrared (MWIR: 3-8 μm) wavelengths.2,3 The main bottleneck with the GeSn technology is, however, the large number of structural defects that severely
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Dutta, Kaixin Yang, and Pierluigi Nuzzo. "ReIGNN: State register identification using graph neural networks for circuit reverse engineering." ICCAD, 2021. [4] Lattner, Chris, et al. "MLIR: Scaling
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PhD thesis: Graph Neural Networks for Predicting Power Consumption in Digital Electronic Architectures Power consumption analysis is an important step in the development of a digital architecture. This power analysis is necessary early on in the RTL (Register Transfer Level) coding stage when...
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