September 2017   |   Nanomaterials, Renewables

A window into solar

An international team searches for optimal materials to use in windows that double as solar panels.

Computer Science
August 2017

Digital autodidact

Oak Ridge National Laboratory is testing a ‘deep-learning supercomputer in a box’ as it looks ahead to machines that automatically find insights in data.

Chemistry, Physics
August 2017

Matter in motion

DOE researchers design algorithms that model a million atoms and probe the detailed chemical behavior of materials.

Materials Science
July 2017

Going meta

Sandia researcher taps high-performance computers to design metamaterials that mold electromagnetics.

Science Highlights

June 2016

Predicting turbulence in fusion plasmas

Data from experiments and advanced codes combine with supercomputing muscle to help explain a half-century-old mystery.

Developing practical fusion energy has been impeded for decades by high heat loss from magnetically confined plasmas. Researchers from MIT, University of California at San Diego and General Atomics captured the dynamics of plasma turbulence linked to heat loss on unprecedented scales. Pictured here is the inside of the Alcator C-Mod tokamak, the inset depicting plasma turbulence simulations that show long wavelength blobs coexisting with short wavelength streamers – small, finger-like structures that comprise the turbulence in the core of the experimental plasmas.

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