Physics-Informed Neural Networks (PINNs) represent a groundbreaking approach wherein
neural networks (NNs) integrate model equations, such as Partial Differential Equations …

Develo** a metamaterial absorber (MA) with both flexibility and temperature insensitivity
continues to be a challenge in the field of radar stealth. In this paper, we propose a …

In load carrying structures and devices, there is a growing need for shape memory polymer
(SMP) metamaterials that are lightweight and have superior strength, remarkable flexibility …

In the development of locally resonant metamaterials, the physical resonator design is often
omitted and replaced by an idealized mass-spring system. This paper presents a novel …

The laminated plate-type acoustic metamaterial (LPAM) has designable low-frequency
sound insulation performance and ultrathin and ultralight characteristics. However, the …

This paper examines absolute displacement feedback using dislocated sensor-actuator
pairs to design and implement an active metamaterial cell for nonreciprocal vibration …

Application of metamaterial in realistic devices requires reliable approaches for effective
material parameters. We demonstrate that a general homogenization procedure is non …

New, smaller and easy-to-carry hyperspectral imaging systems are changing the way we
monitor the environment. These systems use advanced sensors to get information from the …