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. 2011 May 17;2(6):1584–1596. doi: 10.1364/BOE.2.001584

Table 2.

Benchmark of the Adaptive Monte-Carlo Model Sensitivity Study: Comparison with Systematic Study [21]

Parameters Ref. [21] Monte-Carlo
inner radius r1 (nm) 25.1 ± 9.8 [16.7(0.6);30.2(0.6)]
shell thickness e (nm) 3.0 ± 1.3 [1.9(0.1);3.9(0.1)]
maxNM(Qabs) 11.6 11.6
best r1 (nm) 25.1 24.7
best e (nm) 3.0 2.9
Number of Qabs evaluations 24,000 6700
*

The maximum of the efficiency is deduced from Table 2 in Ref. [21] and the reference by Loo et al. [5]: 11.6 = 0.144 × 80.2. The number of evaluations is that required for permittivity choice as well as optimization of the geometry of the nanoshell: 20,000 + 4,000 [21]. For the Monte-Carlo method, the standard deviation of the boundaries across the iterations is also indicated between parenthesis.