The superior multi-functional properties of polymer composites have made them an ideal
choice for aerospace, automobile, marine, civil, and many other technologically demanding …

Phononic crystals (PnCs) control the transport of sound and heat similar to the control of
electric currents by semiconductors and metals or light by photonic crystals. Basic and …

Artificial intelligence (AI) is gaining strength, and materials science can both contribute to
and profit from it. In a simultaneous progress race, new materials, systems, and processes …

Abstract The use of Machine Learning (ML) has rapidly spread across several fields of
applied sciences, having encountered many applications in Structural Dynamics and …

In the current work, a numerical method for the inverse engineering of metamaterials is
elaborated. The method is based on the combination of asymptotic homogenization …

Acoustic metamaterials (AMs) for sound wave manipulation have attracted significant
attention due to their fascinating functionalities, such as anomalous reflection/refraction …

Abstract Using a new Bayesian Optimization algorithm to guide the design of mechanical
metamaterials, we design nonhomogeneous 3D structures possessing the Cauchy …

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 …

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 …

A new method using reinforcement learning for designing bioinspired composite materials is
proposed. While bioinspired design of materials is a promising avenue, the possible …