Supercomputer validates mathematical approach for describing geological features.
Low-momentum (wimpy) quarks and gluons contribute to proton spin, offering insights into protons’ behavior in all visible matter.
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.
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.
Titan supercomputer tells origin story of nanoparticle size distributions with large-scale simulations.
The Fusion Recurrent Neural Network reliably forecasts disruptive and destructive events in tokamaks.
Antiquark spin contribution to proton spin depends on flavor, which could help unlock secrets about the nuclear structure of atoms that make up nearly all visible matter in our universe.
With user facilities, researchers devise novel battery chemistries to help make fluoride batteries a reality.
Researchers demystify how the nitrogenase enzyme breaks bonds to learn a better way to make ammonia.
