![Four blue cube graphs depicting thermodynamic water flow](/-/media/ascr/images/highlights/2019/ASCR-2019-08-a.jpg?h=1350&w=1350&la=en&hash=76BE32EAE6D2E580B049AFAF4F203C23F8D47459B06FEFF63D88DD63C30F10F9)
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.
Infusion of a specialized gel throughout a protein structure produces highly expandable crystals that could find use in energy conversion and filtration.
Discovery of novel polymers with extreme stretching, vibration suppression, and self-healing.
Supercomputer validates mathematical approach for describing geological features.
Mirrored D shape demonstrates surprisingly high pressures in a tokamak, indicating a shape change may be in order for next-generation fusion reactors.
Thin-walled diamond shells carry payloads of boron dust; the dust mitigates destructive plasma disruptions in fusion confinement systems.
Metal-organic frameworks designed with a topology-guided approach show higher efficiency than commercial benchmarks.
Low-momentum (wimpy) quarks and gluons contribute to proton spin, offering insights into protons’ behavior in all visible matter.
Successful models of the fraught dynamics of two particle beams in close contact lead to smoother sailing in an area of particle acceleration.
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.