NEWSROOM

Since the Generalized Snell's Law (GSL) was proposed, planar metasurfaces have achieved remarkable progress in optical and electromagnetic wavefront manipulation by leveraging phase gradients. The Generalized Snell’s Law primarily focuses on the influence of phase gradients on the fundamental wave components while neglecting higher-order spatial harmonics generated by inter-element coupling and periodicity, often limiting metasurfaces to "single-channel" devices and constrain

Caltech team led by Alireza Marandi, a professor of electrical engineering and applied physics at Caltech, has created a tiny device capable of producing an unusually wide range of laser-light frequencies with ultra-high efficiency—all on a microchip.

Researchers have demonstrated a compact, fully integrated device that uses a carefully crafted mirror to generate a stable frequency comb with very broad bandwidth. The mirror they developed, along with an on-chip measurement platform, offers the scalability and flexibility needed for mass-producible remote sensors and portable spectrometers. This development could enable more accurate environmental monitors that can identify multiple harmful chemicals from trace gases in the

By leveraging the concept of chirality, or the difference of a shape from its mirror image, EPFL scientists have engineered an optical metasurface that controls light to yield a simple and versatile technique for secure encryption, sensing, and computing.

In a groundbreaking experiment, researchers from Tianjin University, Zhejiang University, Northeastern University and University of Science and Technology of China have directly observed anti-Klein tunneling (AKT)—a quantum paradox where chiral particles are entirely reflected instead of passing through an energy barrier. This long-sought quantum-like behavior is realized not with electrons, but with engineered sound waves in a custom-designed bilayer phononic crystal.

MIT researchers have developed a novel AI hardware accelerator that is specifically designed for wireless signal processing. Their optical processor performs machine-learning computations at the speed of light, classifying wireless signals in a matter of nanoseconds.