AI learns physics to optimize particle accelerator performance

Machine learning, a form of artificial intelligence, vastly speeds up computational tasks and enables new technology in areas as broad as speech and image recognition, self-driving cars, stock market trading and medical diagnosis.

Watching subsurface defects as they move

A Lawrence Livermore National Laboratory scientist and collaborators have demonstrated the first-ever "defect microscope" that can track how populations of defects deep inside macroscopic materials move collectively.

New 2D alloy combines five metals, breaks down carbon dioxide

A two-dimensional alloy material—made from five metals as opposed to the traditional two—has been developed by a collaboration between researchers at the McKelvey School of Engineering at Washington University in St. ...

Stopping the sulfur shuttle for better batteries

As our society and transportation systems become increasingly electrified, scientists worldwide are seeking more efficient and higher capacity storage systems. Researchers at KAUST have made an important contribution by modifying ...

Uncovering hidden local states in a quantum material

Quantum materials display exotic behaviors due to the effects of quantum mechanics, or how matter acts on the very small scale of atoms and subatomic particles. The technologically relevant properties of quantum materials ...

Putting functional proteins in their place

Scientists have organized proteins—nature's most versatile building blocks—in desired 2D and 3D ordered arrays while maintaining their structural stability and biological activity. They built these designer functional ...

Sound-induced electric fields control the tiniest particles

Engineers at Duke University have devised a system for manipulating particles approaching the miniscule 2.5 nanometer diameter of DNA using sound-induced electric fields. Dubbed "acoustoelectronic nanotweezers," the approach ...

page 1 from 40