Lithium niobate has emerged as a cornerstone material in advanced photonic technologies, owing to its exceptional electro‐optic coefficients, wide optical transparency and strong nonlinear properties.

Organic Non-Linear Optical (NLO) Materials have emerged as a promising field of study within the realm of chemistry. These materials possess unique optical properties that enable the manipulation and ...

Mott insulators, governed by strong correlations, exhibit exceptional nonlinear optics. Guided by first-principles, ...

Engineers built a nanoscale optical device that uses voltage to control light's phase and intensity, advancing quantum communication and compact optical technologies. The device, developed by ...

Researchers have succeeded in combining two major research fields in photonics by creating a nano-object with unique optical qualities. Since the object is a thousand times thinner than the human hair ...

NTT Research, Inc., a division of NTT, announced that its Physics and Informatics (PHI) Lab, working with Cornell University and Stanford University, has developed the world's first programmable ...

SANTA ANA, Calif., Sept. 17, 2025 /PRNewswire/ -- Stanford Advanced Materials (SAM) is pleased to announce the launch of a new series of optical and nonlinear crystals. The new series will target ...

A team of researchers at the Ming Hsieh Department of Electrical and Computer Engineering has created a new breakthrough in photonics: the design of the first optical device that follows the emerging ...

Scientists at Chalmers University of Technology, Gothenburg, Sweden, have for the first time succeeded in combining two major research fields in photonics by creating a nanoobject with special optical ...

The behavior of light when it encounters metallic surfaces has fascinated scientists for more than a century. It began with the discovery of the unique optical properties of metal nanoparticles, as ...

(A) A traditional fully connected neural network. The layers are connected by black lines corresponding to weights. The neurons separately realize the summation and nonlinear activation functions ...