As fast as modern electronics have become, they could be much faster if their operations were based on light, rather than electricity. Fiber optic cables already transport information at the speed of light; to do computations ...
In the realm of general relativity, black holes are well-known for their ability to trap light and matter by bending spacetime, creating a point of no return. While black holes have fascinated scientists and the public alike, ...
Chiral-structural-color materials produce color through microscopic structures that interact with light rather than through pigmentation or dyes. Some beetle exoskeletons, avian feathers, butterfly wings, and marine organisms ...
Two heads are better than one, as the saying goes, and sometimes two instruments, ingeniously recombined, can accomplish feats that neither could have done on its own.
Terahertz (THz) waves, situated between the microwave and infrared regions of the electromagnetic spectrum, have drawn considerable attention over the past two decades.
Skyrmions, recognized for their intricate spin configurations, have captivated researchers as topological quasiparticles with vast potential in data storage and information technology. Recently, optical skyrmions—light-based ...
The interactions between quantum spins underlie some of the universe's most interesting phenomena, such as superconductors and magnets. However, physicists have difficulty engineering controllable systems in the lab that ...
The fine and efficient control of the properties of light at ultrafast speed down to the picosecond timescale is a challenging task, crucial for many scientific applications and technologies. For instance, in free-space optical ...
An article in Opto-Electronic Advances, discusses complete-basis-reprogrammable coding metasurface for generating dynamically-controlled holograms under arbitrary polarization states.
The concept of deep diffractive neural networks (D2NN) was introduced by Professor Ozcan's research team in 2018. D2NN combines the principles of light diffraction with the functionalities of neural networks. It consists ...
