Nano-motors driven by linearly polarized light were fabricated and measured experimentally. These structures include a plasmonic rotor embedded into a SiO2 body. The rotor geometry was optimized to reach the strongest torque using a convolutional neural network connected to a deep convolution generative adversarial network. The most promising nanostructures were fabricated with a multistep process that included ion beam etching of the rotor, followed by embodiment in SiO2. Careful optimization enabled the realization of sub-20 nm features. The nano-motors were transferred to a fluidic chamber for optical characterization, demonstrating rapid rotation speeds.
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