Web Articles

  • 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
  • 2019 ALCF Computational Performance Workshop

ALCF workshop helps attendees advance use of supercomputing resources

This spring, more than 50 researchers from across the country visited the Argonne Leadership Computing Facility (ALCF), a U.S. Department of Energy (DOE) Office of Science User Facility, for the ALCF Computational Performance Workshop. The annual training event is designed to help attendees boost code performance and prepare for future ALCF projects.

June 17, 2019
  • Deep Transfer Learning at Scale for Cosmology

Scientists spearhead convergence of AI and HPC for cosmology

Using an ALCF Data Science Program award, researchers from NCSA and ALCF have developed a novel combination of deep learning methods to provide a highly accurate approach to classifying hundreds of millions of unlabeled galaxies.

June 14, 2019
  • Argonne researchers are using machine learning to transform transportation technologies

On the road to efficiency

From engine design to traffic predictions, Argonne researchers are using machine learning techniques for a variety of projects aimed at transforming our transportation and vehicle technology systems.

June 11, 2019
  • Boron

Combination of experiments and calculations allows examination of boron’s complicated dance

In a study that combines experimental work and theoretical calculations made possible by ALCF supercomputers, scientists have determined the nuclear geometry of two isotopes of boron. The result could help open a path to precise calculations of the structure of other nuclei that scientists could experimentally validate.

June 07, 2019