Lattice Structures
The presented dataset contains information about struts utilized in a material system, including three key attributes: strut diameter, strut type, and sample number. The strut diameter describes the structural element's physical dimension, whereas the strut type specifies the design or placement inside the material, such as edge configurations. A sample number is assigned to each sample, identifying it uniquely. This data can be used in machine learning systems to forecast material qualities, optimize designs, and investigate the effect of strut configurations on structural performance.
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Architected materials, which are designed and engineered with specific microstructures, hold great promise for healthcare applications. In particular, tensile samples based on architected materials exhibit unique properties that can address key challenges in medical devices and implants. By precisely controlling the architecture at the micro- and nano-scale, these materials can be optimized for high strength-to-weight ratio, tunable stiffness, and enhanced biocompatibility.
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