Learning continues throughout summer for ALCF student interns

This summer, 45 students worked alongside ALCF staff mentors to tackle research projects that address issues at the forefront of scientific computing.

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ALCF simulations help improve wind forecasting

ALCF simulations help improve wind forecasting

As part of the Wind Forecast Improvement Project II (WFIP 2), Argonne researchers used the ALCF's Mira supercomputer to improve wind forecasting in complex terrains.

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Molecular structure of the layered hybrid perovskite.

Supercomputer predicts optical and thermal properties of complex hybrid materials

A research team led by Duke University used Theta to predict the properties of semiconductors made from extended organic molecules sandwiched by inorganic structures.

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Big Data and Visualization Camp

The graphic nature of data

This summer, ALCF staff members helped lead Argonne's first Big Data and Visualization Camp, which taught high school students how to gain insights from vast amounts of data.

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Theta

Argonne to advance high-performance computing in manufacturing

Argonne and industry partners have been awarded funding for four projects under DOE's HPC4Mfg Program.

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Announcement

 

Margaret Butler Fellowship in Computational Science

Open to outstanding postdoctoral researchers, the ALCF fellowship offers an opportunity to work at the forefront of scientific computing. The application deadline is December 1, 2018.
[ Apply now ]

 


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.

In the News

Cosmic Fly-Through Movie
SPHEREx News
ALCF Selects New Data Science Projects
HPCWire
Data Science Program at Argonne Looks to Machine Learning for New Breakthroughs
insideHPC
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Events

Oct 24, 2018

Theory for BART

Building 240/Room 4301
Nov 13, 2018

Quantifying the uncertainty in cardiovascular digital twins through model reduction, Bayesian inference and propagation using model ensembles.

Building 240/Room 4301
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