Computational algorithms show whirlpools, not disks, form and dissipate on fluid’s surface.
New studies explain the transition, providing a quantitative picture of a 50-year-old mystery.
Concentrating noble-metal catalyst atoms on the surface of porous nano-frame alloys shows over thirty-fold increase in performance.
![Crystal structure of the parent compound of a calcium-strontium-based cuprate superconductor [(Ca/Sr)2CuO3]](/-/media/bes/images/highlights/2015/02/figure-1-large.jpg?h=640&w=482&la=en&hash=D1DB4EF52CFDD381CF2E3555D27C4B6F5EB9C292E8C55E49392F2B5AA679B0B5 "figure-1-large.jpg")
New theoretical techniques predict experimental observations in superconducting materials.
Modeling experiments assess impacts of key melting behavior.
An optimized nuclear force model yields a high-precision interaction with an unexpected descriptive power.
The optimization of commercial hardware and specialized software enables cost-effective supercomputing.
A boosted frame of reference boosts the speed of calculations.
Predicted materials could economically produce high-purity methane from natural gas systems and separate methane from coal mine ventilation systems.
Advances in how we calculate optical properties of semiconductors shorten the path to improved solar cells and other optoelectronic devices.
Charge-discharge chemistry for lithium ion batteries elucidated by theoretical calculations.
Simulating the evolution of the universe on the Argonne Leadership Computing Facility’s IBM Blue Gene/Q.
