Media Tip: Argonne’s Advanced Photon Source to accelerate biological and environmental research

In October 2023, the Advanced Photon Source (APS), a U.S. Department of Energy (DOE) Office of Science user facility at DOE’s Argonne National Laboratory, officially launched a new initiative to expand biological and environmental research at the world leading X-ray and analysis facility.

Media Tip: First of its kind dataset shows future flooding risk at neighborhood level

Researchers at the U.S. Department of Energy’s Argonne National Laboratory used supercomputing resources to develop a new dataset for estimating increased flood risk from climate change during the mid-21st century.

A revolution in the making

Argonne National Laboratory is shaping Industry 4.0 with groundbreaking research into advanced ways of making things more effective, efficient and economical, using the most cutting-edge materials and processes, with the lowest possible environmental impact.

High school students working with Argonne and Fermilab qualify for the NAACP Olympics

Under mentorship from Argonne and Fermilab experts, six high school students went on to participate in the Afro-Academic, Cultural, Technological and Scientific Olympics in Boston in July.

Bright lights, big data: how Argonne is bringing supercomputing and X-rays together for scientific breakthroughs

Argonne’s newest supercomputer, Polaris, is up and running, and scientists using the Advanced Photon Source are already seeing faster data analysis. While the combination is paying dividends now, it points toward an upgraded APS and an even better supercomputer called Aurora.

Argonne scientist develops new X-ray data reconstruction method

A new software package developed by Argonne will help scientists reconstruct data from X-ray tomography experiments at the Advanced Photon Source up to 30 times faster than current methods.

Machine learning model speeds up assessing catalysts for decarbonization technology from months to milliseconds

Argonne researchers have developed an artificial intelligence-based model to greatly speed up the process for engineering a low-cost catalyst that converts biomass into fuels and useful chemicals with many possible applications.

ComEd report shows how science and supercomputers help utilities adapt to climate change

Shifting climates are causing utility companies to take a closer look at the current and future power needs of their customers. Northern Illinois’ ComEd and Argonne National Laboratory used science to glimpse the future.

4 science advances coming in the exascale era

To celebrate Exascale Day, Argonne highlights some of the projects poised to make scientific breakthroughs on the upcoming Aurora exascale computer. Their research explores the spread of cancer, fusion energy, brain mapping, particle physics and more.

5 big strides from Argonne towards nuclear energy’s future

Nuclear energy is an exciting carbon-free energy source. Recent work at Argonne National Laboratory shows how nuclear energy can improve and why it is such an enticing resource in the fight against climate change.

Scientists use machine learning to accelerate materials discovery

Scientists at Argonne National Laboratory have recently demonstrated an automated process for identifying and exploring promising new materials by combining machine learning (ML) and high performance computing.

Bringing discoveries to light: X-ray science at Argonne

The Advanced Photon Source allows an intricate view of everything from proteins to nuclear fuel. With a planned upgrade, it will become even more powerful.

10 ways Argonne science is combatting COVID-19

Argonne scientists and research facilities have made a difference in the fight against COVID-19 in the year since the first gene sequence for the virus was published.

Virtual reality: ALCF’s remote interns tackle real-world computing projects

The Argonne Leadership Computing Facility’s internship program went virtual this year, providing students with an opportunity to work on real-world research projects that address issues at the forefront of scientific computing.

Building a better traffic forecasting model

Researchers from Argonne have developed a new way to accurately forecast traffic and proved that it could work using as their model the California highway system, the busiest in the United States.

Globus Moves 1 Exabyte

Globus, a leading research data management service, reached a huge milestone by breaking the exabyte barrier. While it took over 2,000 days for the service to transfer the first 200 petabytes (PB) of data, the last 200PB were moved in just 247 days. This rapidly accelerating growth is reflected by the more than 150,000 registered users who have now transferred over 120 billion files using Globus.

Argonne’s new menu of data storage software helps scientists realize findings earlier

A research team, led by Argonne, is developing a new data navigation system called Mochi that will provide scientists with a menu of data services they can rapidly combine and customize to suit the particular needs of a specific science domain.

U.S. Department of Energy’s INCITE program seeks proposals for 2021

The INCITE program is now seeking proposals for high-impact, computationally intensive research projects that require the power and scale of DOE’s leadership-class supercomputers.

Capturing 3D microstructures in real time

Argonne researchers have invented a machine-learning based algorithm for quantitatively characterizing material microstructure in three dimensions and in real time. This algorithm applies to most structural materials of interest to industry.

Preparing for exascale: Eliminating disruptions on the path to sustainable fusion energy

With the world’s most powerful path-to-exascale supercomputing resources at their disposal, William Tang and colleagues are combining computer muscle and AI to eliminate disruption of fusion reactions in the production of sustainable clean energy.

Argonne researchers to share scientific computing insights at SC19

Several Argonne researchers will attend the Supercomputing 2019 (SC19) conference to share scientific computing advances and insights with an eye toward the upcoming exascale era.

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

From July 28 to Aug. 9, 73 students participated in the 2019 Argonne Training Program on Extreme-Scale Computing (ATPESC) organized by the U.S. Department of Energy’s (DOE) Argonne National Laboratory and funded by DOE’s Exascale Computing Project (ECP).

AI technique does double duty spanning cosmic and subatomic scales

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

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

Designing a new type of nuclear reactor is a complicated endeavor requiring billions of dollars and years of development. Because of the high cost, Argonne researchers are running a broad suite of computational codes on supercomputers that offer power available at only a few sites worldwide.

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

Designing a new type of nuclear reactor is a complicated endeavor requiring billions of dollars and years of development. Because of the high cost, Argonne researchers are running a broad suite of computational codes on supercomputers that offer power available at only a few sites worldwide.