Web Articles

  • 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
  • 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.

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

Large cosmological simulation to run on Mira

An extremely large cosmological simulation—among the five most extensive ever conducted—is set to run on Mira this fall and exemplifies the scope of problems addressed on the leadership-class supercomputer at the U.S.

August 05, 2019
  • Spectral element mesh for a modified engine geometry

ALCC program awards ALCF computing time to 12 projects

The U.S. Department of Energy’s (DOE) ASCR Leadership Computing Challenge (ALCC) has awarded 12 projects a total of 5.9 million node-hours at the Argonne Leadership Computing Facility (ALCF), located at Argonne National Laboratory, to pursue challenging, high-risk, high-payoff simulations.

August 02, 2019
  • Aiichiro Nakano

Who’s using Argonne's User Facilities?

Who's using Argonne's user facilities? Sean Couch of Michigan State University and Aiichiro Nakano of the University of Southern California are among the hundreds of researchers using ALCF supercomputers to advance science.

July 11, 2019
  • Yuri Alexeev

The best of both worlds: how to solve real problems on modern quantum computers

With help from ALCF computing resources, Argonne researchers are combining quantum and classical approaches to overcome limitations in current quantum computing hardware.

July 11, 2019

Predicting material properties with quantum Monte Carlo

Recent advances in quantum Monte Carlo (QMC) methods have the potential to revolutionize computational materials science, a discipline traditionally driven by density functional theory (DFT). Using DOE supercomputers, a team led by Paul Kent of Oak Ridge National Laboratory is using QMC to simulate promising materials that elude DFT’s investigative and predictive powers.

July 09, 2019

Pages