The efficiency of quantum computers, sensors and other applications often relies on the properties of electrons, including how they are spinning. One of the most accurate systems for high-performance quantum applications ...
Finding new materials with useful properties is a primary goal for materials scientists, and it's central to improving technology. One exciting area of current research is 2D materials—super-thin substances made of just ...
Scientists have tapped artificial intelligence and powerful computing to take a first step to speed up how quickly officials are able to learn important details about nuclear events such as explosions, accidents or industrial ...
A new study, published by a team of UBC Okanagan chemistry researchers, is creating a major rethink of how enzymes work. And how a quantum phenomenon helps an important enzyme control essential yet dangerous molecules.
A new method for combining magnetic elements with semiconductors—which are vital materials for computers and other electronic devices—was unveiled by a research team led by the California NanoSystems Institute at UCLA.
Solar cells and computer chips need silicon layers that are as perfect as possible. Every imperfection in the crystalline structure increases the risk of reduced efficiency or defective switching processes.
Imagine the concrete in our homes and bridges not only withstanding the ravages of time and natural disasters like the intense heat of wildfires, but actively self-healing or capturing carbon dioxide from the atmosphere.
The Graduate School of Information Science (GSIS) at Tohoku University, together with the Â鶹ÒùÔºics and Informatics (PHI) Lab at NTT Research, Inc., have jointly published a paper in the journal Quantum Science and Technology. ...
Oregon State University pigment researchers are using a rare mineral discovered in Norway more than a century ago as a road map for creating new yellows, oranges and reds that are vibrant, durable, non-toxic and inexpensive.
At the forefront of discovery, where cutting-edge scientific questions are tackled, we often don't have much data. Conversely, successful machine learning (ML) tends to rely on large, high-quality data sets for training. ...
