Monthly Archives: July 2022

Enabling Highly Accurate and Reliable Predictions of the Basic Properties of Materials

The QMCPACK project intends to provide the capability to find, predict, and control materials and properties at the quantum level.

Supercomputer Code Can Help Capture Carbon, Reduce Global Warming

The ECP MFIX-Exa team is developing tools to impact large-scale chemical reactors for a variety of industries.

ECP Advances the Science of Atmospheric Convection Modeling

Researchers have developed a multiscale modeling framework to refine cloud renderings in E3SM climate simulations on GPU-accelerated machines.

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