July 2016   |   Combustion

HPC revs up engine designs

An Argonne National Laboratory group looks under the hood to clean up combustion engines and the atmosphere.

Chemistry, Nanomaterials
June 2016

Super wires

Modeling self-assembling nanowires with curious electronic properties.

Chemistry, Computer Science
June 2016

High-performing hybrid

Berkeley Lab prepares for quantum-classical computing future.

May 2016

Infant cosmos

Early-universe models evolve to handle observations to come.

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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