ASCR Highlights

MENNDL, an artificial intelligence system, automatically designed an optimal deep learning network to extract structural information from raw

The dramatic Arctic sea-ice loss observed over the satellite era has intensified debate into whether these high-latitude changes are affecting

Magnetic reconnection occurs when oppositely directed magnetic fields are forced together in plasmas, which are excellent electrical conductors. A

Fundamental understanding of selective recognition and separation of lanthanide ions by chelating agents is of crucial importance for advancing

A team of scientists set out to determine whether the theory of optimal foraging, which suggests any ecological community will adjust its

Scientists from the University of Washington, Stanford University, and the Pacific Northwest National Laboratory (PNNL) created a computational

The team began with a flat piece of ruthenium metal. On top of the metal, they grew graphene, which is a one-atom-thick layer of carbon. In this

Scientists at Brookhaven National Laboratory (BNL) ran a version of the “muon wobble” experiment, known as “Muon g-2,” in

Decades of research have empirically shown optimal conditions for a variety of separations applications, making use of specific combinations of

In 2015, a multidisciplinary team from Argonne National Laboratory created a material consisting of graphene, nanodiamond particles, and diamond

High-energy electrons play an important role in auroras. However, previous dynamical simulations either did not incorporate critical electron

Machine learning techniques hold potential for enabling scientists to extract valuable insights from large, complex data sets being produced by

Biological organisms are complex systems composed of functional networks of interacting molecules and macromolecules. Complex traits (phenotypes)

Quantum computers promise to solve “exponentially hard” problems, such as computing the structure of molecules, atoms, or atomic nuclei

The computer simulations are fully corroborated by the theoretical predictions of a new phenomenological theory, putting the conclusions on a solid

Designing materials for sensors that function at peak performance in relatively harsh environments, such as saltwater, is of interest to

The mechanism behind the magnetic flux pumping in the numerical simulations works as follows: if the central current profile is flat and if the

Researchers are shedding light on boiling phenomena, bubble formation, and turbulent liquid/gas flows in nuclear reactor geometries. Using ALCF

Oak Ridge National Laboratory (ORNL) researchers at the Center for Nanophase Materials Sciences rastered a highly focused helium-ion beam through a

Atoms are always shaking. The higher the temperature, the more the atoms shake. In this study, scientists used a specialized instrument made by the

The lithium-sulfur battery has a theoretical energy density much greater than commercial lithium-ion batteries; however, the technology exhibits

The water-saving characteristics developed by CAM plants allow for survival in arid climates. Plant species such as orchid, pineapple, and

Given an arbitrary graph or network, it is difficult to know the most efficient way to visit all of the nodes and links. A random walk gets a sense

The remarkable mobility of lithium ions in solids has been a key factor in the development of commercial lithium-ion batteries. A generally

Light could induce desirable structural changes in thin sheets of materials. These materials could have applications ranging from data storage