Machine-learning technique could improve fusion energy outputs

Machine-learning techniques, best known for teaching self-driving cars to stop at red lights, may soon help researchers around the world improve their control over the most complicated reaction known to science: nuclear fusion.

Developing new techniques to improve atomic force microscopy

Researchers at the Beckman Institute for Advanced Science and Technology have developed a new method to improve the detection ability of nanoscale chemical imaging using atomic force microscopy. These improvements reduce ...

A 'pause button' for light particles

How do you stop something that is faster than anything else, intangible and always in motion by nature? A team led by physicists Dr. Thorsten Peters and Professor Thomas Halfmann is doing the seemingly impossible: stopping ...

Understanding the 'fundamental nature' of atomic-scale defects

Materials scientists study metals, polymers, and other substances at the atomic level in order to find new ways to control a material's physical properties, such as how strong or how malleable it is. One key aspect of this ...

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