Metamaterials are artificial materials designed to exhibit effective material parameters that
go beyond those found in nature. Composed of unit cells with rich designability that are …

Interpretability in machine learning (ML) is crucial for high stakes decisions and
troubleshooting. In this work, we provide fundamental principles for interpretable ML, and …

The rise of machine learning has fueled the discovery of new materials and, especially,
metamaterials—truss lattices being their most prominent class. While their tailorable …

Abstract Machine intelligence continues to rise in popularity as an aid to the design and
discovery of novel metamaterials. The properties of metamaterials are essentially …

As a result of evolution, many biological materials have developed irregular structures that
lead to outstanding mechanical performances, like high stiffness‐to‐weight ratios and good …

With the aid of recent efficient and prior knowledge-free machine learning (ML) algorithms,
extraordinary mechanical properties such as negative Poisson's ratio have extensively …

Optical metamaterials manipulate light through various confinement and scattering
processes, offering unique advantages like high performance, small form factor and easy …

The ability to design materials for wave propagation behaviors has high potential for impact
in medical imaging, telecommunications, and signal processing. The dispersion relation is …

An artificial intelligence machine learning-based design framework is proposed to design
lattice-based metamaterials with hexagonal symmetry that deliver wide band gaps at user …

Ordered granular structures have garnered considerable attention across various fields due
to their capacity to manipulate the transmission of mechanical energy and mitigate the …