A new class of metamaterials

Spinodoid metamaterials with tunable anisotropy

Spinodoid metamaterials based on (a) isotropic, (b) lamellar, (c) columnar, and (d) cubic topologies. (e) A spatially variant architecture interpolating between columnar and lamellar topologies (indicated by orange and blue colors, respectively). 

After a decade of periodic truss-, plate-, and shell-based architectures having dominated the design of metamaterials, we introduce the new class of spinodoid topologies. Inspired by natural self-assembly processes, spinodoid metamaterials are a close approximation of microstructures observed during spinodal phase separation in, e.g., nanoporous metal foams, microemulsions, and polymer blends. Spinodoid metamaterials offer several advantages over conventional metamaterials.

We show that the spinodoid design space can be integrated with an efficient and robust machine learning technique for the inverse design of (meta-)materials, in particular, uniform and functionally-graded cellular mechanical metamaterials with tailored direction-dependent (anisotropic) stiffness and density. 

Ref: S. Kumar, S. Tan, L. Zheng, D. M. Kochmann, Inverse-designed spinodoid metamaterials, npj Comput. Mater., 6 (2020), 73.

Codes:  https://www.gibboncode.org

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