Web Articles

  • ATPESC 2019

Argonne training program prepares researchers for scientific computing in the exascale era

The Argonne Training Program on Extreme-Scale Computing (ATPESC), now in its seventh year, plays an important role in growing the community of researchers who can use supercomputers to tackle complex problems in science and engineering. The annual training event, which was held at the Q Center in St. Charles, Illinois, this summer, has now hosted nearly 500 participants since its inception.

October 16, 2019
  • ATLAS image

AI technique does double duty spanning cosmic and subatomic scales

While high energy physics and cosmology seem worlds apart in terms of sheer scale, Argonne scientists are using similar machine learning methods to address classification problems for both subatomic particles and galaxies.

October 03, 2019
  • Argonne's Rick Stevens

Artificial Intelligence: Transforming science, improving lives

Leveraging Argonne’s broad capabilities and world-class facilities, the laboratory is exploring and expanding new AI techniques to drive discovery and innovation.

September 30, 2019
  • 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.

September 16, 2019
  • Data Science for Discovery in Chemical and Materials Sciences

DOE announces funding for Argonne projects on better materials and chemistry through data science

The U.S. Department of Energy (DOE) Office of Science has announced that its Argonne National Laboratory will be receiving funding for two new projects that will use data science to accelerate discovery in chemistry and material sciences.

September 13, 2019
  • Neuromorphic chip team

Argonne explores how ants, bees, and fruit flies can be the next big buzz in artificial intelligence

An Argonne research team used Theta as part of an effort to design and simulate a new neuromorphic chip inspired by the brain structure of insects.

September 12, 2019
  • Theta

AI to help drive engine efficiencies on the road

Researchers at Argonne are developing the deep learning framework MaLTESE (Machine Learning Tool for Engine Simulations and Experiments) to meet ever-increasing demands to deliver better engine performance, fuel economy and reduced emissions.

September 10, 2019
  • Argonne's Big Data Camp

Argonne camp introduces students to big data

At Argonne National Laboratory’s second annual Big Data Camp, a group of high school students got an opportunity to learn first-hand what it’s like to be a data scientist. The five-day camp aims to make computer science and the study of big data more accessible, ultimately preparing the students for a future that will be shaped by data.

September 04, 2019
  • Jeffery Kinnison

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

For many students, the summer break means a chance to sleep in, enjoy the sun, and spend a few days at the beach. For the 29 students who spent their summers at the Argonne Leadership Computing Facility (ALCF), a U.S.

September 03, 2019
  • 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.

August 08, 2019