A method for topological optimization of plasmonic metasurfaces (nanostructures that enhance light) has been developed for the selective capture of nanoparticles. The algorithm, which calculates optical forces via the Maxwell stress tensor, finds the surface geometry that creates maximum attraction for particles of a specific size. It is shown that the shape of the metasurface depends on the size and material of the particles; for small particles, the trapping stiffness is higher. Fabrication constraints for planar technology are taken into account. This promises a breakthrough in biosensing, microfabrication, and quantum assembly—like fine-tuning a trap to the quarry.
Light flows like an invisible river. If you place an obstacle in the stream, the water whirls into eddies. Likewise, specially designed surfaces create light 'whirlpools' that catch nanoparticles like wood chips. Maxwell derived the formulas for light pressure back in the 19th century, and today algorithms based on them design a relief of the tiniest features, like a riverbed for this flow.
Such traps are embedded into aqueous solutions to capture and sort carbon nanotubes, viruses, and bacteria. They assemble microchips without mechanical contact and hold single atoms for quantum circuits. The designs are efficient and suitable for mass production.
🎯 Light can lift and hold a particle in the air, like an invisible tweezer. This phenomenon has been recognized with a Nobel Prize.
🎬 These light traps work like a 'tractor beam' from science fiction, attracting objects without touching them.