ASCR Highlights

Titan supercomputer tells origin story of nanoparticle size distributions with large-scale simulations.

A new catalyst design meets cost, activity, and durability goals by leveraging ultralow loadings of platinum with platinum-free supports.

The Fusion Recurrent Neural Network reliably forecasts disruptive and destructive events in tokamaks.

Since the 1980s, scientists have known that quark and antiquark spins within a proton account for, at best, a quarter of the overall proton spin.

With user facilities, researchers devise novel battery chemistries to help make fluoride batteries a reality.

Global data set shows monthly water use by irrigation, manufacturing, and other uses, helping researchers to analyze water use by region and season.

Predictions of the direct impacts of greenhouse gases must account for local temperature and humidity conditions.

Researchers find gusty winds increase surface evaporation that drives summer rainstorms in the Tropical West Pacific.

Surprisingly, a magnetic island does not necessarily perturb the plasma current in a dangerous way and destroy fusion performance.

Researchers modeled design concepts for innovative, opposed-piston engine on Titan supercomputer.

Two most abundant elements in the universe, hydrogen & helium, were previously thought to be impossible to measure by X-ray photoelectron spectroscopy

Scientists catch details with atomic resolution, potentially helping design systems to use sunlight and water to produce fuels.

Scientists investigate a threshold for rapid ice-sheet degradation in the West Antarctic Ice Sheet.

A careful consideration of electric fields could lead to faster industrial processes that use less energy and release less waste.

Element-selective method reveals interfacial properties of materials used for water purification, catalysis, energy conversion, and more.

Widespread fracturing during lake drainage triggers vertical shafts to form that affect the Greenland Ice Sheet.

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

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