Chinese Journal of Lasers, Volume. 50, Issue 22, 2204003(2023)
System Design for Dark‑Field Detection of Nanoparticles on Wafer Metal Surface
Fig. 1. Theoretical model and principle description. (a) Scattering of silver film surface; (b) double interaction model principle; (c) principle of polarization modulation
Fig. 2. Transmission simulation model and simulation result. (a) Simulation model; (b) transmittance simulation result; (c) K4 photoresist surface detected by 266 nm light
Fig. 3. Simulation results of brightness and dark fields detection. (a) Brightness field simulation result; (b) dark field simulation result
Fig. 4. Scattering energy of PSL and SiO2 particles under p and s light incidence
Fig. 5. Scattering field spatial distribution of PSL particles with different diameters under p and s light incidence. (a)‒(d) Spatial distribution of scattering energy of PSL particles with radius of 20,40,60,80 nm under p light incidence; (e)‒(h) spatial distribution of scattering energy of PSL particles with radius of 20, 40, 60,80 nm under s light incidence
Fig. 6. Simulation results with different incident angles. (a) Simulation result at 0° incident angle; (b) simulation result at 30° incident angle; (c) simulation result at 60° incident angle
Fig. 8. Experimental system and process flow diagrams. (a) Experimental system; (b) schematic of the process of fabricating samples
Fig. 9. Detection results of particles on film surface with different RMS roughness values. (a)‒(c) Observation results of the samples with RMS roughness of 2.4, 4.9 and 8 nm under dark field microscope; (d) scanning results of the sample with RMS roughness of 8 nm under AFM;(e)‒(g) local areas of Figs. 9 (a), (b) and (c); (h) background noise curves under different RMS roughness values
Fig. 10. Detection results of the experimental system on the sample with RMS roughness of 2.4 nm. (a)‒(c) Detection results with three different polarized light incidence; (d) particle signal curve corresponding to Fig.10 (a), (b) and (c)
Fig. 11. Detection results of the samples with RMS roughness of 4.9 nm by our own experimental system. (a) Detection result with the polarizer at initial position; (b) detection result after 20° rotation of the polarizer; (c) background noise curves corresponding to Figs.11 (a) and (b)
Fig. 12. Particle detection result. (a) Detection results before adding 100 nm particles to the sample with RMS roughness of 2.4 nm; (b) detection results of the self-built experimental system without polarizer on the dark field receiving optical path after adding 100 nm particles; (c) detection results of the self-built experimental system after modulating the polarization state; (d) detection results of DSX1000; (e) detection results before adding 100 nm particles to the sample with 8 nm RMS roughness; (f) detection results of the self-built experimental system without polarizer on the dark field receiving optical path after adding 100 nm particles; (g) detection results of the self-built system with modulating the polarization state; (h) detection results of DSX1000; (i) detection results before adding particles to the sample with 3.4 nm RMS roughness; (j) detection results of DSX1000 after adding 50 nm particles to the sample; (k) detection results of the self-built experimental system after modulating the polarization state; (l) SEM image of the particles
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Quan Deng, Zeyu Zhao, He Lin, Ling Liu, Xiachuqin Li, Gensen Yang, Xiangang Luo. System Design for Dark‑Field Detection of Nanoparticles on Wafer Metal Surface[J]. Chinese Journal of Lasers, 2023, 50(22): 2204003
Category: Measurement and metrology
Received: Jan. 9, 2023
Accepted: Mar. 15, 2023
Published Online: Nov. 7, 2023
The Author Email: Luo Xiangang (lxg@ioe.ac.cn)