Optimization of Laser-Induced Optical Response in Advanced Materials for High-Performance Photonic Applications

Authors

DOI:

https://doi.org/10.64943/ljacs.2026.010207

Keywords:

nonlinear refractive index, Kerr effect, reproducible photonics, Kerrphotonic materials, photonic materials, optical switching

Abstract

Many photonic switches, modulators, sensors and spectral-control devices are based on light-induced variations in the refractive index. It is difficult to find a suitable material, because published nonlinear coefficients depend on wavelength, pulse duration, and measurement method. To address this, we performed a loss-aware analysis on publicly available experimental data. The dataset consisted of 366 nonlinear-index measurements from 240 source records and covered 96 materials. In all cases the linear refractive-index and extinction data were fitted at the same wavelength as the nonlinear measurement. These values were used in a Kerr phase-shifter model that related material response to transmission, interaction length and drive intensity. We tested 5,346 material-band-length combinations. Realizable designs required at least 90% linear transmission, pi-pulse intensity not exceeding 100 GW cm⁻², and index change less than 1%. These conditions left 820 designs from 23 material-band pairs, including 75 non-dominated solutions.  The optimum trade-off was found for GaAs at 1064 nm, which gives a modeled pi-shift intensity of 3.98 GW cm-2 over 0.410 mm. That estimate, however, came from one nonlinear source.  Silicon at 1550 nm was fifth with four sources, with a median nonlinear index of 6.35 × 10⁻¹⁸ m² W⁻¹. The clustered meta-regression explained 74.7 % of the observed variance, and the grouped cross-validation yielded a mean R2 of 0.534. Even after correction, measurements of semiconductors remained higher than the chalcogenide reference group. The created shortlist is useful for screening, but direct validation of non-linear absorption, damage limits and waveguide confinement is still needed.

References

1. Adair, R., Chase, L. L., & Payne, S. A. (1989). Nonlinear refractive index of optical crystals. Physical Review B, 39, 3337-3350. https://doi.org/10.1103/PhysRevB.39.3337

2. Boyraz, O., Koonath, P., Raghunathan, V., & Jalali, B. (2004). All optical switching and continuum generation in silicon waveguides. Optics Express, 12, 4094-4102. https://doi.org/10.1364/OPEX.12.004094

3. Bristow, A. D., Rotenberg, N., & van Driel, H. M. (2007). Two-photon absorption and Kerr coefficients of silicon for 850-2200 nm. Applied Physics Letters, 90, 191104. https://doi.org/10.1063/1.2737359

4. Deb, K., Pratap, A., Agarwal, S., & Meyarivan, T. (2002). A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation, 6, 182-197. https://doi.org/10.1109/4235.996017

5. Ensley, T. R., & Bambha, N. K. (2019). Ultrafast nonlinear refraction measurements of infrared transmitting materials in the mid-wave infrared. Optics Express, 27, 37940-37951. https://doi.org/10.1364/OE.380702

6. Flom, S. R., Beadie, G., Bayya, S. S., Shaw, B., & Auxier, J. M. (2015). Ultrafast Z-scan measurements of nonlinear optical constants of window materials. Applied Optics, 54, F123-F130. https://doi.org/10.1364/AO.54.00F123

7. Jansonas, G., Budriunas, R., Vengris, M., & Varanavicius, A. (2022). Interferometric measurements of nonlinear refractive index in the infrared spectral range. Optics Express, 30, 30507-30524. https://doi.org/10.1364/OE.458850

8. Lee, J. Y., Yin, L., Agrawal, G. P., & Fauchet, P. M. (2010). Ultrafast optical switching based on nonlinear polarization rotation in silicon waveguides. Optics Express, 18, 11514-11523. https://doi.org/10.1364/OE.18.011514

9. Lin, Q., Zhang, J., Piredda, G., Boyd, R. W., Fauchet, P. M., & Agrawal, G. P. (2007). Dispersion of silicon nonlinearities in the near infrared region. Applied Physics Letters, 91, 021111. https://doi.org/10.1063/1.2750523

10. Matteo, D., Tochitsky, S., Pigeon, J., & Joshi, C. (2024). Pulse length effects in the nonresonant long-wave infrared nonlinear optical response of n-Ge, GaAs, and ZnSe. Journal of the Optical Society of America B, 41, E35-E44. https://doi.org/10.1364/JOSAB.534031

11. Pigeon, J. J., Matteo, D. A., Tochitsky, S. Y., Ben-Zvi, I., & Joshi, C. (2020). Measurements of the nonlinear refractive index of AgGaSe2, GaSe, and ZnSe at 10 μm. Journal of the Optical Society of America B, 37, 2076-2082. https://doi.org/10.1364/JOSAB.395844

12. Polyanskiy, M. N. (2024). Refractiveindex.info database of optical constants. Scientific Data, 11, 94. https://doi.org/10.1038/s41597-023-02898-2

13. Sheik-Bahae, M., Hutchings, D. C., Hagan, D. J., & Van Stryland, E. W. (1991). Dispersion of bound electron nonlinear refraction in solids. IEEE Journal of Quantum Electronics, 27, 1296-1309. https://doi.org/10.1109/3.89946

14. Sheik-Bahae, M., Said, A. A., Wei, T. H., Hagan, D. J., & Van Stryland, E. W. (1990). Sensitive measurement of optical nonlinearities using a single beam. IEEE Journal of Quantum Electronics, 26, 760-769. https://doi.org/10.1109/3.53394

15. Tatsuura, S., Matsubara, T., Mitsu, H., Sato, Y., Iwasa, I., Tian, M., & Furuki, M. (2005). Cadmium telluride bulk crystal as an ultrafast nonlinear optical switch. Applied Physics Letters, 87, 251110. https://doi.org/10.1063/1.2151256

16. Werner, K., Hastings, M. G., Schweinsberg, A., Wilmer, B. L., Austin, D., Wolfe, C. M., Kolesik, M., Ensley, T. R., Vanderhoef, L., Valenzuela, A., & Chowdhury, E. (2019). Ultrafast mid-infrared high harmonic and supercontinuum generation with n2 characterization in zinc selenide. Optics Express, 27, 2867-2885. https://doi.org/10.1364/OE.27.002867

17. Yeh, P., Yariv, A., & Hong, C. S. (1977). Electromagnetic propagation in periodic stratified media. I. General theory. Journal of the Optical Society of America, 67, 423-438. https://doi.org/10.1364/JOSA.67.000423

18. Yoshiki, W., & Tanabe, T. (2014). All-optical switching using Kerr effect in a silica toroid microcavity. Optics Express, 22, 24332-24341. https://doi.org/10.1364/OE.22.024332

19. Najeeb Ahmed , O., & Amer Mohammed, A. (2026). Intelligent Deep Learning-based Systems to Detect Early Cyber Attacks in IoT Networks. Libyan Journal of Applied and Contemporary Sciences, 1(1), 38–52. https://doi.org/10.64943/ljacs.2026.010105

Downloads

Published

2026-08-28

How to Cite

Abdelsalam Milad, F. (2026). Optimization of Laser-Induced Optical Response in Advanced Materials for High-Performance Photonic Applications. Libyan Journal of Applied and Contemporary Sciences, 1(2), 70–89. https://doi.org/10.64943/ljacs.2026.010207

Issue

Section

Articles

Categories