Scientists move quantum optic networks a step closer to reality

A crucial step has been achieved in understanding quantum optical behavior of semiconductor nanomaterials.

New discovery is big on nanoscale

Scientists discover that it is possible to predict what type of material an unidentified element will be in bulk quantities solely based on the properties it exhibits over a limited range of the subnano to nano size régime.

Controlling neurons with light - but without wires or batteries

New research reveals a more sophisticated method for delivering light to control neurons in the brain -- which could ultimately mean turning off pain receptors or reducing the effects of severe neurological disorders.

Tiny, implantable device uses light to treat bladder problems

Device that works in rats has potential to replace electronic stimulators, drugs for pain, incontinence.

A catalytic flying carpet

Chemical engineering researchers develop self-powered microfluidic sheet that wraps, flaps and creeps.

Rippling under pressure - when layered materials are pushed to the brink

By studying the behavior of a deck of cards, and stacks of other materials, like steel and aluminum, scientists are proving the existence of a buckling phenomenon that happens inside layered materials when they are put under pressure. The discovery could shape the way researchers study the way things deform under pressure.

Quantum chemistry on quantum computers

A quantum algorithm for tracking complex chemical reactions with neither performing demanding post-Hartree-Fock calculations nor exponential time explosion.

Graphene-based implant overcomes technical limitation to record brain activity at extremely low frequencies

Researchers have developed a graphene-based implant able to record electrical activity in the brain at extremely low frequencies and over large areas, unlocking the wealth of information found below 0.1 Hz. The groundbreaking technology promises to enhance our understanding of the brain and pave the way for the next generation of brain-computer interfaces.