Argonne researchers Alexsandr Obabko and Emily Shemon

Argonne harnesses virtual power to address the most complex challenges in nuclear science

Argonne researchers are running a broad suite of computational codes on ALCF supercomputers to model and analyze next-generation nuclear reactor designs.

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MaLTESE deep learning framework

AI to help drive engine efficiencies on the road

With help from ALCF computing resources, Argonne researchers are developing the deep learning framework MaLTESE with autonomous and cloud-connected vehicles in mind.

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Argonne's Big Data Camp

Argonne camp introduces students to big data

Argonne’s Big Data Camp aims to make computer science and the study of big data more accessible to high school students, ultimately preparing them for a future that will be shaped by data.

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Jeffery Kinnison

Summer students tackle research projects at the forefront of high-performance computing

Twenty-nine students ranging from undergraduates to PhD candidates came to the ALCF this summer to gain hands-on experience with leadership-class supercomputers.

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Taflove INCITE

Predicting the risk of cancer with computational electrodynamics

Researchers from Northwestern University are using ALCF supercomputers to advance the development of an optical microscopy technique that can predict and quantify cancer risks at extremely early stages.

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Announcement

 

Aurora slated to be one of the nation’s first exascale systems

Targeted for delivery in 2021, the ALCF's next-generation supercomputer will usher in a new era of breakthroughs in science and engineering. Read more >>


Featured Video

How Smart is a Supercomputer?
ALCF Director of Science Katherine Riley discusses the value of supercomputing in a recent episode of the YouTube science series, The Good Stuff.

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Events

Sep 18, 2019

Symmetry and asymmetry in oscillatory patterns

Building 240/Room 1404-1405
Sep 25, 2019

Boundary integral constrained optimization for a multi-scatterer Helmhotz problem

Building 240/Room 1404-1405
Oct 9, 2019

Convexity detection, Computational convex analysis, multi-fidelity surrogate for road design

Building 240/Room 4301
more