Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
Researchers at EMBL Barcelona have developed an open-source tool that makes working with complicated volumetric imaging data ...
Condensed-matter physics and materials science have a silo problem. Although researchers in these fields have access to vast amounts of data – from experimental records of crystal structures and ...
New model explains stability and electronic behavior of boron nanostructures from hollow clusters to ultrathin 2D layers, linking them to atomic coordination. (Nanowerk News) Boron, a chemical element ...
Dr. Nevill Gonzalez Szwacki from the Faculty of Physics at the University of Warsaw has developed a groundbreaking model that explains the diversity of boron nanostructures—from hollow molecular ...
Constructing out-of-equilibrium molecular assemblies that deviate from thermodynamic equilibrium is a central challenge in materials science. While numerous studies have reported the creation of such ...
An AI algorithm converts 2D electron microscope images into accurate 3D structures, cutting analysis time and cost to one-eighth while preserving precision. The newly developed algorithm requires ...
Super Mario Bros. 2 is seen as the black sheep of Mario games series. Released in 1988 for the NES and in 1992 for Japan, some players were sure they had played it before. They’d be correct, as the ...
In a bold challenge to silicon s long-held dominance in electronics, Penn State researchers have built the world s first working CMOS computer entirely from atom-thin 2D materials. Using molybdenum ...
More than ten years ago, researchers at Rice University led by materials scientist Boris Yakobson predicted that boron atoms would cling too tightly to copper to form borophene, a flexible, metallic ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results