July 2017   |   Materials Science

Going meta

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

Biology, Computer Science
May 2017

Brain-like computing

Biologically inspired architectures create opportunities and obstacles.

Energy, Physics
May 2017

Calculating collapse

Researchers turn to DOE supercomputers to study the havoc – and promise – of tiny bubbles.

Special Report
April 2017

Data-driven drugs

DOE-NCI project applies computational power to predict molecular targets for cancer therapies.

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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