Plasmonic nanocomposite helices for weather-adaptive LiDAR function

Area of Science:

• Materials Science
• Optics
• Nanotechnology

Background:

• Light detection and ranging (LiDAR) systems face performance degradation due to water droplets on protective covers.
• Macroscopic raindrops cause signal distortion via refraction and diffraction.
• Microscopic fog condensation leads to light scattering, compromising LiDAR accuracy.

Purpose of the Study:

• To develop a novel strategy for clearing multiscale water droplets from surfaces.
• To enhance the reliability and robustness of LiDAR sensors in adverse weather conditions.
• To create a bioinspired solution mimicking natural water-repellent mechanisms.

Main Methods:

• Fabrication of plasmonic nanocomposite helices using copper nanoparticles embedded in 3D silica nanohelices via glancing angle co-deposition.
• Utilizing visible-light plasmonic heating from copper nanoparticles for antifogging.
• Incorporating hierarchical roughness in the helical architecture for hydrophobic water repellence.
• Testing LiDAR transmission through the treated surfaces under simulated and natural rainfall conditions.

Main Results:

• The plasmonic nanohelices demonstrated passive photothermal antifogging and pressure-stable hydrophobic water repellence.
• A surface temperature rise of 9.3°C under 1 sun illumination cleared condensation within 6 seconds.
• LiDAR transmission remained at 100% through the nanohelices during natural rainfall, while bare glass transmission dropped to 70% within 5 minutes.
• The developed surface maintained >85% transmittance at 905 nm, crucial for LiDAR operation.

Conclusions:

• The bioinspired plasmonic nanohelices offer an effective solution for multiscale droplet clearance.
• This technology significantly improves LiDAR performance and reliability in challenging weather.
• The findings pave the way for robust autonomous sensing systems adaptable to various environmental conditions.