Feb 3, 2023

#Google sets up #semi #IC engineering team in #Taiwan



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February 03, 2023 at 02:21PM
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Paradigm shift - smaller, better, faster: #imec presents #chip scaling roadmap



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February 03, 2023 at 10:33AM
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[paper] Tang, X., Shen, H., Zhao, S. et al. #Flexible #brain–#computer #interfaces



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February 03, 2023 at 08:30AM
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Feb 2, 2023

RT @UMichECE: This chip by @SaliganeMehdi is part of the #opensource #semi hardware movement to democratize #IC design, a movement supported by many, including @NIST and @Google Read more: https://t.co/BVufryP3j2 https://t.co/Pkvocdinma



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February 02, 2023 at 11:55AM
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Jan 30, 2023

[paper] Zener diode compact modeling and simulation

Modelling and simulation of Zener diode noise in the time domain
International Journal of Numerical Modelling Electronic Networks Devices and Fields
January 2023
DOI: 10.1002/jnm.3090

1 Centre for Communications Technology, London Metropolitan University, London, UK.

Abstract: This paper presents a new time domain Zener diode compact model for transient noise simulation. SPICE2 and SPICE3 use piece-wise linear time dependent sources for generating complex waveforms. This approach is not practical when applied to randomly generated noise. Today, through on-going improvements to freely available Circuit simulation tools, SPICE noise generation has moved to a new level. Ngspice, for example, computes white Gaussian noise ‘on-the-fly' as transient Simulation progresses. The proposed model has a simple behavioral structure that supports time domain shot, flicker, and thermal noise. The physical properties of the proposed model are introduced in the second section. This is followed by an evaluation of model performance in the third and fourth sections, including static DC, dynamic Charge, and transient noise characterization. Finally, the fifth section summarizes the conclusions of the research.
FIG: QuCS-S/Ngspice Zener diode behavioural model: subcircuit schematic drawing; intermediate equations and limexp function definition.

DATA AVAILABILITY STATEMENT: Data Sharing not applicable to this article as no datasets were generated or analyzed during the current study.