Optical logical operations have sparked major interest in the past decade since they can enable many applications, particularly those involving high-throughput and on-the-fly data processing such as secured wireless communication ...
In the past several decades, physicists have conducted deep laboratory investigations into nonlinear optics, plasma physics and quantum science using advanced high-intensity, ultrashort-pulse lasers. Increased use of the ...
Switchable materials that have extreme material contrast and short switching times with negligible degradation can contribute to active plasmonic and nanophotonic systems. In order to understand their supreme properties, ...
Light is emerging as the leading vehicle for information processing in computers and telecommunications as our need for energy efficiency and bandwidth increases.
The demands of miniaturization and integration of photonic components, such as nanolasers, have opened up and pushed the development of integrated optical systems. Halide perovskite semiconductor materials have shown tremendous ...
Physicists have measured the flight times of electrons emitted from a specific atom in a molecule upon excitation with laser light. This has enabled them to measure the influence of the molecule itself on the kinetics of ...
Researchers at the Universitat Politècnica de València (UPV), belonging to the Nanophotonics Technology Center, have taken a new step in designing omnidirectional invisible materials. At their laboratories, they have discovered ...
Many emerging technologies rely on high-quality lasers. Laser-based LiDAR sensors can provide highly accurate scans of three-dimensional spaces, and as such are crucial in applications ranging from autonomous vehicles to ...
Since the development of diffractive optical elements in the 1970s, researchers have increasingly uncovered sophisticated fundamental principles of optics to replace the existing bulky optical elements with thin and lightweight ...
A paper published in Advanced Photonics "Enhanced light–matter interactions in dielectric nanostructures via machine-learning approach," suggests that machine-learning techniques can be used to enhance metasurfaces, optimizing ...
