Showing posts with label Integrated circuit modeling. Show all posts
Showing posts with label Integrated circuit modeling. Show all posts

Feb 9, 2021

[paper] On-Chip Coplanar Waveguides

José Valdés-Rayón, Roberto S. Murphy-Arteaga and Reydezel Torres-Torres; 
Determination of the Contribution of the Ground-Shield Losses 
to the Microwave Performance of On-Chip Coplanar Waveguides 
IEEE Transactions on MTT; Feb.3, 2021 
DOI: 10.1109/TMTT.2021.3053548 
* National Institute of Astrophysics, Optics and Electronics (INAOE), Department of Electronics, Tonantzintla, Puebla 72840, Mexico.

Abstract: In this article, we characterize and model two parasitic effects that become apparent in the performance of coplanar waveguide interconnects in CMOS. One is the transverse resistance introduced by a patterned ground shield in coplanar waveguide interconnects, which significantly contributes to the shunt losses. The other one is the parasitic coupling between the input and output ports through the ground shield. The latter effect is particularly accentuated in relatively short lines and complicates the determination of the propagation constant using line-line algorithms at several tens of gigahertz. We demonstrate that using the proposed methodology, excellent model-experiment correlation can be achieved in the modeling of these types of interconnects up to at least 60 GHz.

Funding: CONACyT-Mexico

May 25, 2020

[paper] SPICE PCM Model

A SPICE Model of Phase Change Memory for Neuromorphic Circuits
Xuhui Chen1, Huifang Hu1, Xiaoqing Huang1, Weiran Cai2, Ming Liu3 (Fellow, Ieee), Chung Lam4,  Xinnan Lin1 (Member, IEEE), Lining Zhang5 (Senior Member, IEEE)
and Mansun Chan6 (Fellow, IEEE)
1The Shenzhen Key Lab of Advanced Electron Device and Integration, ECE, Peking University Shenzhen Graduate School, Shenzhen 518055 CN
2Institute of Microscale Optoelectronics, Shenzhen University, Shenzhen 518061 CN
3Key Laboratory of Microelectronics Devices and Integration Technology, Institute of Microelectronics of Chinese Academy of Sciences, Beijing 100029, and the University of Chinese Academy of Sciences, Beijing 100049 CN
4Jiangsu Advanced Memory Technology Co., Ltd, Huaian 223302 CN
5School of Electronic and Computer Engineering, Peking University, Shenzhen 518055, CN
6HKUST Shenzhen Research Institute, Shenzhen 518057, China, and Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, HK

doi: 10.1109/ACCESS.2020.2995907

Abstract: A phase change memory (PCM) model suitable for neuromorphic circuit simulations is developed. A crystallization ratio module is used to track the memory state in the SET process, and an active region radius module is developed to track the continuously varying amorphous region in the RESET process. To converge the simulations with bi-stable memory states, a predictive filament module is proposed using a previous state in iterations of nonlinear circuit matrix under a voltage-driven mode. Both DC and transient analysis are successfully converged in circuits with voltage sources. The spiking-timedependent- plasticity (STDP) characteristics essential for synaptic PCM are successfully reproduced with SPICE simulations verifying the model’s promising applications in neuromorphic circuit designs. Further on, the developed PCM model is applied to propose a neuron circuit topology with lateral inhibitions which is more bionic and capable of distinguishing fuzzy memories. Finally, unsupervised learning of handwritten digits on neuromorphic circuits is simulated to verify the integrity of models in a large-scale-integration circuits. For the first time in literature an emerging memory model is developed and applied successfully in neuromorphic circuit designs, and the model is applicable to flexible designs of neuron circuits for further performance improvements. 
FIG: Schematic diagram of commonly used PCM mushroom structure
URL: https://IEEExplore.IEEE.org/stamp/stamp.jsp?tp=&arnumber=9097232&isnumber=6514899

Feb 7, 2017

[paper] Statistical model of the NBTI-induced ΔVth, ΔSS, and Δgm degradations in advanced pFinFETs

Statistical model of the NBTI induced threshold voltage, subthreshold swing, and transconductance degradations in advanced pFinFETs
J. Franco, B. Kaczer, S. Mukhopadhyay, P. Duhan, P. Weckx, Ph.J. Roussel, T. Chiarella, L.-Å. Ragnarsson, L. Trojman, N. Horiguchi, A. Spessot, D. Linten, A. Mocuta
2016 IEEE International Electron Devices Meeting (IEDM), San Francisco, CA, USA, 2016, pp. 15.3.1-15.3.4.
DOI: 10.1109/IEDM.2016.7838422
Abstract
We study the stochastic NBTI degradation of pFinFETs, in terms of ΔVth, ΔSS, and Δgm. We extend our Defect-Centric model to describe also the SS distribution in a population of devices of any area, at any stage of product aging. A large fraction of nanoscale devices is found to show a peak g m improvement after stress. We explain this effect in terms of the interaction of individual defects with the percolative channel conduction, and we propose a statistical description of g m aging. Our Vth, SS, and gm aging models are pluggable into reliability-enabled compact models to estimate design margins for a wide variety of circuits. Selected nanoscale device characteristics resulting from 3 percolation paths, generated with the EKV model [read more...]

Dec 13, 2016

[paper] A surface potential large signal model for AlGaN/GaN HEMTs

A surface potential large signal model for AlGaN/GaN HEMTs
Q. Wu, Y. Xu, Z. Wen, Y. Wang and R. Xu
2016 11th EuMIC, London, UK, 2016, pp. 349-352

doi: 10.1109/EuMIC.2016.7777562

Abstract: This paper presents an accurate analytical surface-potential-based compact model for AlGaN/GaN HEMTs for SPICE-like circuit simulation. Considering the important energy level E0, an easy-implemented analytical continuous expression for the fermi level position Ef was deduced to obtain the surface potential (SP) φs. Then analytical core models for intrinsic charge and drain current are derived based on φs. The model has been implemented in Agilent ADS by using symbolic defined device. Excellent agreement of DC I-V, fundamental output power, power added efficiency and gain is obtained for the first time compared with measurement results. Moreover, the effect of physical parameter such as the barrier thickness d on device characteristic is researched on the basic of this model. The results show that the proposed physical based model can be useful for technological parameters analysis and optimization of process.

[read more: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7777562&isnumber=7777458]

Aug 6, 2015

Best Practices for Compact Modeling in Verilog-A

Mcandrew, C.C.; Coram, G.J.; Gullapalli, K.K.; Jones, J.R.; Nagel, L.; Roy, A.S.; Roychowdhury, J.; Scholten, A.J.; Smit, G.D.J.; Wang, X.; Yoshitomi, S., "Best Practices for Compact Modeling in Verilog-A," Electron Devices Society, IEEE Journal of the , vol.PP, no.99, pp.1,1

doi: 10.1109/JEDS.2015.2455342

Abstract: Verilog-A is the de facto standard language that the semiconductor industry uses to define compact models. Unfortunately, it is easy to write models poorly in Verilog-A, and this can lead to unphysical model behavior, poor convergence, and difficulty in understanding and maintaining model codes. This paper details best practices for writing compact models in Verilog-A, to try to help raise the quality of compact modeling throughout the industry.

keywords: Capacitance, Computational modeling, Convergence, Hardware design languages, Integrated circuit modeling, Mathematical model, Numerical models

[read more...]

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