Results 111 to 120 of about 13,339 (215)
With the rapid advancement of modern underwater detection technologies, both detection accuracy and frequency coverage, particularly in the low-frequency range, have improved significantly.
Wei LI +3 more
doaj +1 more source
Uncovering Exotic Topological Quantum States in Pure and Magnetically‐Doped Pyrite OsS2
Pyrite‐structured OsS2 is identified as a fragile topological insulator with an unprecedented 602 meV bandgap, featuring helical surface states and van Hove singularities amenable to ARPES verification. Magnetic doping with Pd, Fe, Ni, or Co induces phase transitions to strong topological insulators, semimetals, 3D quantum anomalous Hall insulators ...
Ali Sufyan +9 more
wiley +1 more source
Phase Hologram by Acoustic Metasurfaces
This work has achieved a breakthrough in holographic communication, realizing phase holographic imaging. The proposed phase holographic concept overcomes the limitations of traditional amplitude holographic energy attenuation. The design of its amplitude compensation method further addresses the key challenge of phase holographic imaging clarity ...
Xiao Guo +11 more
wiley +1 more source
MEMS‐Based Magnetoelectric Antennas for Wireless Power Transmission in Brain‐Implantable Devices
Magnetoelectric (ME) antennas allow the minimization of the invasiveness of brain implantable devices, via powering wirelessly systems able to actuate neural tissue. In order to achieve the necessary power efficiency transmission, the choice of the materials and the system assembly is vital.
Laura Mazón‐Maldonado +5 more
wiley +1 more source
Review of Underwater Acoustic Communication Based on Metamaterials
In recent years, acoustic metamaterials, as a sort of novel artificial composite materials, have demonstrated the ability to surpass the limitations of traditional materials through their exceptional acoustic parameter manipulation capabilities.
Ping ZHOU, Han JIA, Jun YANG
doaj +1 more source
A parametrically‐Conditioned Deep Learning Surrogate for Coherent Spinodal Decomposition
Spinodal decomposition of strained alloys with cubic anisotropy is reproduced by a Convolutional Recurrent Neural Network, taking the misfit parameter as explicit input to return different morphologies. The predicted composition fields match phase‐field simulations over a broad range of parameters, allowing to reconstruct the full phase diagram.
Andrea Fantasia +5 more
wiley +1 more source
This review introduces the concept of “general curvy surface reconstruction,” which incorporates both geometric and physical dimensions, representing an upgrade over conventional geometric reconstruction that focuses solely on spatial relationships. Particular emphasis is placed on the emerging opportunities enabled by advanced measurement techniques ...
Chen Shang +8 more
wiley +1 more source
Self‐Creation of Accelerated Temporal Mirrors
The field of temporal analog effects is rapidly emerging and seen as a driver of a paradigm shift in photonics. It promises striking new phenomena but remains experimentally challenging. This work introduces a mechanism that automatically creates a temporal mirror with simple optical means, unlocking practical access to extreme nonlinear dynamics and ...
Oliver Melchert +4 more
wiley +1 more source
Vibration Reduction Method for Power Cabin of Torpedoes Based on Acoustic Metamaterials
The acoustic stealth performance of torpedoes directly affects the safety of the launching platform, the concealment of the torpedo attack, and the effectiveness of wire-guided guidance.
Xuyang SUN +3 more
doaj +1 more source
An Investigation of Modular Composable Acoustic Metamaterials with Multiple Nonunique Chambers. [PDF]
Yang X +8 more
europepmc +1 more source

