Tags: Monte Carlo


Monte Carlo methods are a class of computational algorithms that rely on repeated random sampling to compute their results. Monte Carlo methods are often used in simulating physical and mathematical systems. Because of their reliance on repeated computation of random or pseudo-random numbers, these methods are most suited to calculation by a computer and tend to be used when it is unfeasible or impossible to compute an exact result with a deterministic algorithm.

Learn more about quantum dots from the many resources on this site, listed below. More information on Monte Carlo method can be found here.

Resources (1-1 of 1)

  1. Multi-walled/Single-walled Carbon Nanotube (MWCNT/SWCNT) Interconnect Lumped Compact Model Considering Defects, Contact resistance and Doping impact

    11 Jul 2018 | Compact Models | Contributor(s):

    By Rongmei Chen1, Jie LIANG1, Jaehyun Lee2, Vihar Georgiev2, Aida Todri1

    1. CNRS 2. University of Glasgow

    In this project, we present SWCNT and MWCNT interconnect compact models. These models consider the impact of CNT defects, the chirality and contact resistance between CNT-electrode (Pd) on CNT...