VLSI Electronics: Microstructure science Volumes 1 and 2: Edited by N.G. Einspruchdoi:10.1016/0141-6359(82)90014-9A. NeukermansElsevier Inc.Precision Engineering
leading to an emergence of semi-metal-based electronic applications. Specifically, these properties include intrinsic low density of states at the Fermi level, the linear dispersion electronic structure and the symmetry breaking in the momentum space, which can be harnessed for...
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Energy efficient and robust reservoir computing system using ultrathin (3.5 nm) ferroelectric tunneling junctions for temporal data learning. In 2021 Symposium on VLSI Technology 1–2 (IEEE, 2021). Tanaka, G. et al. Recent advances in physical reservoir computing: a review. Neural Netw. 115,...
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A 22 nm high performance and low-power CMOS technology featuring fully-depleted tri-gate transistors, self-aligned contacts and high density MIM capacitors. In Proc. 2012 Symposium on VLSI Technology (VLSIT) 131–132 (IEEE, 2012). Kohn, W. et al. Density functional theory of electronic ...
Data-intensive computing operations, such as training neural networks, are essential for applications in artificial intelligence but are energy intensive. One solution is to develop specialized hardware onto which neural networks can be directly mapped,
5. Advanced Electronics Topics: VLSI technology: Processing, lithography, interconnects, packaging, testing; VLSI design: Principles, MUX/ROM/PLA-based design, Moore & Mealy circuit design; Pipeline concepts & functions; Design for testability, examples; DSP: Discrete time signals/systems, uses; Digi...
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