OPTIMAL DESIGN OF GRADED REFRACTIVE INDEX PROFILE FOR BROADBAND OMNIDIRECTIONAL ANTIREFLECTION COATINGS USING GENETIC PROGRAMMING

To eliminate the average re∞ectance of antire∞ection coatings to the greatest extent, a Genetic Programming (GP) algorithm is proposed to design and optimize the graded refractive index distribution proflle for broadband omnidirectional antire∞ection coatings. The proposed GP-index proflle in this paper can obtain an extremely low average re∞ectance of 4:61£10 i7 % over a wide range of incident angles and wavelengths which is obviously superior to the average re∞ectance of 8:09£10 i3 %, 3:29£10 i4 % and 4:35£10 i5 % for linear proflle, cubic proflle and quintic proflle. That means, Fresnel re∞ection almost can be eliminated by the optimal GP-index proflle for omnidirectional incidence over a broad wavelength range. Moreover, it is demonstrated the proposed GP-index proflle has better robustness, and it still has the best broadband and omnidirectional antire∞ection characteristics for the TiO2/SiO2 graded-index AR coating. Therefore, the proposed GP-index proflle is obviously superior to the conventional linear proflle, cubic proflle and quintic proflle, and the design methodology presented in this paper that uses a genetic programming technique is a quite convenient means to pursue an optimal nonlinear refractive index proflle with broadband and omnidirectional antire∞ection characteristics.

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