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. Author manuscript; available in PMC: 2017 Mar 22.
Published in final edited form as: ACS Nano. 2016 Feb 22;10(3):2995–3014. doi: 10.1021/acsnano.5b03299

Figure 5.

Figure 5

The plot shows a measure of manufacturing complexity, MC, as a function of cost per unit area (dollars per square meter). We define manufacturing complexity (MC) as Log10 [K·ξmax/(dmin·f·P)], where K is the Kolmogorov complexity,424max/dmin) is a measure of the maximum distance over which spatial coherence must be maintained, compared to the minimum feature size, the fractional tolerance, f, is the maximum allowable variation in feature size, and the perfection, P, is the maximum fraction of defective components or concentration of impurities that can be permitted. The cost may be dominated by the information content (Bits), as in the case of a Blu-ray disk, or by the material (Atoms) as for a protein-functionalized nanoparticle [see text for details].