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Realistic computational view of how atom stretches informs microscopic description of nuclear energy production.
Innovative materials adsorb carbon dioxide via an unprecedented cooperative insertion mechanism.
New models reveal the impact of competing processes on helium bubble formation in plasma-exposed tungsten.
Computational algorithms show whirlpools, not disks, form and dissipate on fluid’s surface.
Concentrating noble-metal catalyst atoms on the surface of porous nano-frame alloys shows over thirty-fold increase in performance.
New studies explain the transition, providing a quantitative picture of a 50-year-old mystery.
![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?la=en&h=640&w=482&hash=FEBD032F1B2FB9804669C29E7DAD057E "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.
Predicted materials could economically produce high-purity methane from natural gas systems and separate methane from coal mine ventilation systems.
A boosted frame of reference boosts the speed of calculations.
