ASCR Highlights

Developing computer models of the plasma in a unique device is helping a company take the next steps towards producing power.

Researchers create the most complete model yet of complex protein machinery.

By rotating materials commonly used in computer storage devices, scientists found a new way to change their intrinsic properties.

Algorithms supporting a “microscope in a computer” tool enable early screening of several major cancers.

New computer simulations reveal the explosive scene after ultra-dense stars collide, as well as where heavy elements may have originally formed.

Finding the right dyes for a new type of solar cell can be challenging, but this study used supercomputers to speed up the process.

Scientists find the weak points to facilitate industrial applications of metallic glasses.

A new route to make metal beneath a layer of graphite opens potentially new applications in solar cells and quantum computing.

The Dark Energy Survey has delivered dark energy constraints combining information from four of its primary cosmological probes for the first time.

Ultrafast X-rays track how associated pairs of atoms find new locations when triggered by light.

Dark fiber lays groundwork for long-distance earthquake detection and groundwater mapping.

Models use a fraction of the computational cost of today’s best atom-based water models.

Supercomputer use offers insights into how to best describe the nature of our universe.

Supercomputer validates mathematical approach for describing geological features.

Engineers can model heat distribution in reactor designs with fewer or no approximations.

Researchers use advanced nuclear models to explain 50-year mystery surrounding the process stars use to transform elements.

Scientists use supercomputers to determine how reliably a popular Earth system model represents precipitation regionally and globally.

A first-of-its-kind computer simulation reveals self-healing cement for geothermal and oil and gas wells performs better than originally thought.

Particles act in a way that justifies extrapolating simulation results to astrophysical scales.

Low-momentum (wimpy) quarks and gluons contribute to proton spin, offering insights into protons’ behavior in all visible matter.

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.