Results 201 to 210 of about 3,894,887 (327)

On‐Chip Active Non‐Reciprocal Topological Photonics

open access: yesAdvanced Materials, EarlyView.
An ultra‐compact and efficient on‐chip isolator is experimentally demonstrated by integrating magneto‐optical InSb onto a terahertz silicon topological chip. The simultaneous breaking of spatial and temporal reversal symmetries forms a valley‐conserved non‐reciprocal waveguide mode, enabling a compact cavity size of 6.4 × 2.5λ2 and a low insertion loss
Ridong Jia   +5 more
wiley   +1 more source

Proposing Altermagnetic‐Ferroelectric Type‐III Multiferroics with Robust Magnetoelectric Coupling

open access: yesAdvanced Materials, EarlyView.
Multiferroics are highly sought after for advanced technological applications. Here, a novel class of type‐III multiferroics is proposed, where ferroelectricity and altermagnetism are inherently interlocked by crystal symmetry, setting them apart from conventional multiferroics. The ferroelectric switching is shown to fully invert the spin polarization
Wei Sun   +6 more
wiley   +1 more source

Bioactive Glass Microscaffolds Fabricated by Two‐Photon Lithography

open access: yesAdvanced Materials, EarlyView.
Microstructuring of bioactive glasses offers great potential to influence cell behavior for bone tissue engineering. By utilizing two‐photon lithography of a nanocomposite and thermal post‐processing, single‐micron features and complex structures are achieved.
Leonhard Hambitzer   +7 more
wiley   +1 more source

Twisted GeS Nanowire with Engineered Stacking Order and Tunable Composition

open access: yesAdvanced Materials Interfaces, EarlyView.
1D twisted GeS nanowires with engineered stacking orders and tunable bandgaps are synthesized using an axial screw dislocation mechanism. These nanowires exhibit enhanced photoelectronic properties and strong second harmonic generation (SHG), presenting new opportunities for future electronic and optoelectronic applications.
Qi Wu   +9 more
wiley   +1 more source

Machine Learning‐Accelerated Reconstruction of Periodic Nanostructures with X‐ray Fluorescence Spectroscopy Methods

open access: yesAdvanced Materials Interfaces, EarlyView.
This study demonstrates the use of neural networks to accelerate nanostructure reconstruction from grazing incidence X‐ray fluorescence data, by replacing computationally expensive finite‐element method (FEM) simulations. The results show that neural networks can achieve accurate reconstructions while reducing computation time by several orders of ...
Vinh‐Binh Truong   +4 more
wiley   +1 more source

Home - About - Disclaimer - Privacy