BUFFALO, N.Y. — University at Buffalo chemist Jason Benedict and his team spent years developing photoswitchable crystals. Every crystal’s shape is a mirror of the internal arrangement of their ...

Researchers have devised a mathematical approach to predict the structures of crystals -- a critical step in developing many medicines and electronic devices -- in a matter of hours using only a ...

Researchers have used artificial intelligence to predict dozens of previously unknown carbon crystal structures, including at least one with a calculated hardness exceeding that of diamond. The ...

Researchers at Lawrence Berkeley National Laboratory have developed a 4D-STEM workflow that can isolate and solve atomic structures from individual nanocrystals buried inside dense, tangled clusters, ...

Chemical engineers have developed a machine-learning model that can predict a compound's oxidation state, a property that is so essential that many chemists argue it must be included in the periodic ...

Researchers developed a bifocal lens based on two layers of liquid crystal (LC) structures. The intensities for the two focal lengths can be easily adjusted by applying external voltage. WASHINGTON — ...

An artificial intelligence created by Google DeepMind may help revolutionise materials science, providing new ways to make better batteries, solar panels, computer chips and many more vital ...

An international team of scientists used an X-ray laser at the Department of Energy's SLAC National Accelerator Laboratory to determine the structure of an insect virus's crystalline protein "cocoon." ...

When looking at calcite under a microscope, a scientist would immediately recognize the crystalline form of calcium carbonate by its rhombohedral appearance. That is, calcite is shaped like a ...

UB chemist Jason Benedict and his team spent years developing photoswitchable crystals. Every crystal’s shape is a mirror of the internal arrangement of their molecules, but the molecules in ...