From touch screens and advanced electronic sensors to better drug delivery devices, graphene has become one of the most promising new materials in recent decades. In an effort to produce cheap, defect-free graphene in larger quantities, researchers have been using GCS HPC resources to develop more efficient methods for producing graphene at the industrial scale.…

In dynamical systems research, a ‘basin of attraction’ is the set of all the starting points — usually close to one another — that arrive at the same final state as the system evolves through time. The researchers describe a simple argument showing why basins in systems with multiple attractors should look like high-dimensional octopi.…

Researchers have found a simple, yet highly versatile, way to generate ‘chaotic signals’ with various features. The technique consists of interconnecting three ‘ring oscillators,’ effectively making them compete against each other, while controlling their respective strengths and their linkages. The resulting device is rather small and efficient, thus suitable for emerging applications such as realizing…

A small device, called ‘Smart Stirrer’, performed a function of a conventional laboratory stir bar, has an integrated microprocessor and various sensors capable of wireless and autonomous report the conversion of properties of a solution. Results are sent to a computer over Bluetooth, and any changes notify the user wirelessly. In the paper, ‘Monitoring chemistry…

Researchers have demonstrated the use of elastic vibrations to manipulate the spin states of optically active color centers in SiC at room temperature. They show a non-trivial dependence of the acoustically induced spin transitions on the spin quantization direction, which can lead to chiral spin-acoustic resonances. These findings are important for applications in future quantum-electronic…

Aligning the form realism and behavioral realism of avatars is important for successful marketing applications. The study, forthcoming in the Journal of Marketing, is titled «An Emerging Theory of Avatar Marketing» and is authored by Fred Miao, Irina Kozlenkova, Haizhong Wang, Tao Xie, and Robert Palmatier. In 2020, Samsung’s Star Labs brought digital avatars to…

A team of scientists has leveraged artificial intelligence to train computers to keep up with the massive amounts of X-ray data taken at the Advanced Photon Source. That’s the challenge a group of scientists from the U.S. Department of Energy’s (DOE) Argonne National Laboratory is working to overcome. Artificial intelligence has emerged as a versatile…

Researchers reveal a new method for analyzing hierarchies in complex networks and illustrate it by applications to economics, language and gene expression. A prime example of this is a food web, in which the nodes represent species and there is a directed edge from each species to those which eat it. In a directed network,…

Using bioinformatics tools and programming, researchers identified five specific mutations that are far more prevalent in Delta Plus infections compared to Delta infections, including one mutation, K417N, that is present in all Delta Plus infections but not present in nearly any Delta infections. The findings provide important clues to researchers about the structural changes to…

Researchers have developed a scheme for AI-assisted design of fiber reinforced composite (FRC) structures with spatially varying optimal fiber sizes, making FRCs more lightweight without compromising their mechanical strength and stiffness. Fiber reinforced composites (FRCs) are a class of sophisticated engineering materials composed of stiff fibers embedded in a soft matrix. When properly designed, FRCs…