The Exascale Computing Project has concluded. This site is retained for historical references.

Application: magnetic-fusion-energy

HOT FUSION: EXASCALE COMPUTING DRIVES EARTHLY EFFORTS TO PRODUCE THE ENERGY THAT POWERS THE SUN

Exascale to Model Fusion Energy

Developing Predictor Models to Move Fusion Energy Closer to Reality

Using high-performance computers, researchers at Princeton and the Princeton Plasma Physics Laboratory aim to quickly and accurately predict the onset of disruption disturbances involving the rapid releases of plasma that can cause structural damage in fusion reactors.

ECP Team Reengineers Materials Simulation Code, Achieves Atypical Performance Increase

The EXAALT project has made a big step forward with a five-fold performance advance in addressing its fusion energy materials simulations challenge problem.

Exascale Computing Could Drastically Boost the Capabilities of Energy Applications

Tom Evans, technical lead for ECP's Energy Applications projects, shares about the motivations, progress, and aspirations on the path to the exascale.

Exascale Computing to Help Accelerate Drive for Clean Fusion Energy

Exascale Computing to Help Accelerate Drive for Clean Fusion Energy Jon Bashor Lawrence Berkeley National Laboratory Computing Sciences   For decades, scientists have struggled to create a clean, unlimited energy

Molecular Dynamics at the Exascale

Simulations that fully exploit exascale can solve key problems in fission and fusion materials

PPPL physicists win ECP funding

The Princeton Plasma Physics Lab (PPPL) has been selected by the ECP to develop a fusion plasmas application.

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