Inverse-designed spinodoid metamaterials

@article{Kumar2020InversedesignedSM,
  title={Inverse-designed spinodoid metamaterials},
  author={Siddhant Kumar and Stephanie Tan and Li Zheng and Dennis M. Kochmann},
  journal={npj Computational Materials},
  year={2020},
  volume={6},
  pages={1-10}
}
After a decade of periodic truss-, plate-, and shell-based architectures having dominated the design of metamaterials, we introduce the non-periodic class of spinodoid topologies. Inspired by natural self-assembly processes, spinodoid metamaterials are a close approximation of microstructures observed during spinodal phase separation. Their theoretical parametrization is so intriguingly simple that one can bypass costly phase-field simulations and obtain a rich and seamlessly tunable property… 

Data-driven topology optimization of spinodoid metamaterials with seamlessly tunable anisotropy

Inverting the structure–property map of truss metamaterials by deep learning

A deep-learning framework, which combines neural networks with enforced physical constraints, to predict truss architectures with fully tailored anisotropic stiffness, trained on millions of unit cells is proposed.

Decoupling Minimal Surface Metamaterial Properties Through Multi‐Material Hyperbolic Tilings

Rapid advances in additive manufacturing have kindled widespread interest in the rational design of metamaterials with unique properties over the past decade. However, many applications require

Deep Learning-Accelerated Designs of Tunable Magneto-Mechanical Metamaterials.

Metamaterials are artificially structured materials with unusual properties, such as negative Poisson's ratio, acoustic band gap, and energy absorption. However, metamaterials made of conventional

Inverse Design of Mechanical Metamaterials with Target Nonlinear Response via a Neural Accelerated Evolution Strategy

Materials with target nonlinear mechanical response can support the design of innovative soft robots, wearable devices, footwear, and energy‐absorbing systems, yet it is challenging to realize them.

Discretely assembled mechanical metamaterials

This work presents a construction system for mechanical metamaterials based on discrete assembly of a finite set of parts, which can be spatially composed for a range of properties such as rigidity, compliance, chirality, and auxetic behavior.

Machine learning assisted design of shape-programmable 3D kirigami metamaterials

Kirigami-engineering has become an avenue for realizing multifunctional metamaterials that tap into the instability landscape of planar surfaces embedded with cuts. Recently, it has been shown that

Bulk Ferroelectric Metamaterial with Enhanced Piezoelectric and Biomimetic Mechanical Properties from Additive Manufacturing.

A lamellar ferroelectric metamaterial was created with a ceramic-like piezoelectric property and a bone-like fracture toughness through a low-voltage-assisted 3D printing technology showing a potential of manufacturing practical, high-performance, and smart biological systems.
...

References

SHOWING 1-10 OF 108 REFERENCES

Microarchitected Stretching‐Dominated Mechanical Metamaterials with Minimal Surface Topologies

Historically, the creation of lightweight, yet mechanically robust, materials have been the most sought‐after engineering pursuit. For that purpose, research efforts are dedicated to finding pathways

Multifunctional Mechanical Metamaterials Based on Triply Periodic Minimal Surface Lattices

In nature, cellular materials exhibit enhanced multifunctionalities driven mainly by their sophisticated topologies and length scales. These natural systems have inspired the development and

Ultralight, ultrastiff mechanical metamaterials

A class of microarchitected materials that maintain a nearly constant stiffness per unit mass density, even at ultralow density is reported, which derives from a network of nearly isotropic microscale unit cells with high structural connectivity and nanoscale features, whose structural members are designed to carry loads in tension or compression.

Extreme mechanical resilience of self-assembled nanolabyrinthine materials

This approach provides a pathway to harnessing self-assembly methods in the design and scalable fabrication of beyond-periodic and nonbeam-based nano-architected materials with simultaneous directional tunability, high stiffness, and unsurpassed recoverability with marginal deterioration.

Nanolattices: An Emerging Class of Mechanical Metamaterials

The introduction of a hierarchical architecture is an effective tool in enhancing mechanical properties, and the eventual goal of nanolattice design may be to replicate the intricate hierarchies and functionalities observed in biological materials.

Microstructural patterns with tunable mechanical anisotropy obtained by simulating anisotropic spinodal decomposition

The generation of mechanical metamaterials with tailored effective properties through carefully engineered microstructures requires avenues to predict optimal microstructural architectures. Phase
...