Abstract
Mechanically guided assembly through compressive buckling emerges as a viable approach to fabricate complex three-dimensional (3D) mesostructures and functional devices. However, it remains a challenge to efficiently and accurately find the 2D precursor of a desired 3D structure. The authors propose a systematic computational method based on an adaptive genetic algorithm, and solve this inverse design problem for ribbon-shaped 3D structures. This work has a broad range of applications in the design optimization of ribbon-shaped 3D microelectronic devices, such as tunable antennas and energy harvesters.
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