Machine Learning Helps Create Detailed, Efficient Models of Water
Models use a fraction of the computational cost of today’s best atom-based water models.
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.
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.
A new route to make metal beneath a layer of graphite opens potentially new applications in solar cells and quantum computing.
Read more about Getting Metal Under Graphite’s Skin
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.
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.
The two most abundant elements in the universe, hydrogen and helium, were previously thought to be impossible to measure by X-ray photoelectron spectroscopy.
Read more about X-ray Spectroscopy of Hydrogen and Helium