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Carbon Nanotube Interconnects: Process Variation via Polynomial Chaos

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References

2002The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations4,821 cited
2007A Stochastic Collocation Method for Elliptic Partial Differential Equations with Random Input Data1,396 cited
2011Parameters Variability Effects on Multiconductor Interconnects via Hermite Polynomial Chaos97 cited
2008Stochastic formulation of SPICE-type electronic circuit simulation with polynomial chaos77 cited

Cited by

2017Accurate Reduced Dimensional Polynomial Chaos for Efficient Uncertainty Quantification of Microwave/RF Networks39 cited
2017Variability Analysis of Crosstalk Among Differential Vias Using Polynomial-Chaos and Response Surface Methods19 cited
2015Multidimensional Variability Analysis of Complex Power Distribution Networks via Scalable Stochastic Collocation Approach17 cited
2019A Predictor–Corrector Algorithm for Fast Polynomial Chaos-Based Uncertainty Quantification of Multi-Walled Carbon Nanotube Interconnects16 cited
2013Uncertainty quantification for integrated circuits: Stochastic spectral methods13 cited
2013Efficient Hermite-based variability analysis using approximate decoupling technique10 cited
2023Modified Knowledge-Based Neural Networks Using Control Variates for the Fast Uncertainty Quantification of On-Chip MWCNT Interconnects10 cited

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