CMAS Lab

Indian Institute of Technology Roorkee

A predictor–corrector algorithm for fast polynomial chaos based statistical modeling of carbon nanotube interconnects


Journal article


Surila Guglani, Sourajeet Roy
Uncertainty Quantification of Electromagnetic Devices, Circuits, and Systems, 2021

Semantic Scholar DOI
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APA   Click to copy
Guglani, S., & Roy, S. (2021). A predictor–corrector algorithm for fast polynomial chaos based statistical modeling of carbon nanotube interconnects. Uncertainty Quantification of Electromagnetic Devices, Circuits, and Systems.


Chicago/Turabian   Click to copy
Guglani, Surila, and Sourajeet Roy. “A Predictor–Corrector Algorithm for Fast Polynomial Chaos Based Statistical Modeling of Carbon Nanotube Interconnects.” Uncertainty Quantification of Electromagnetic Devices, Circuits, and Systems (2021).


MLA   Click to copy
Guglani, Surila, and Sourajeet Roy. “A Predictor–Corrector Algorithm for Fast Polynomial Chaos Based Statistical Modeling of Carbon Nanotube Interconnects.” Uncertainty Quantification of Electromagnetic Devices, Circuits, and Systems, 2021.


BibTeX   Click to copy

@article{surila2021a,
  title = {A predictor–corrector algorithm for fast polynomial chaos based statistical modeling of carbon nanotube interconnects},
  year = {2021},
  journal = {Uncertainty Quantification of Electromagnetic Devices, Circuits, and Systems},
  author = {Guglani, Surila and Roy, Sourajeet}
}