Now in 3D: Deep learning techniques help visualize X-ray data in three dimensions

A team of Argonne scientists has leveraged artificial intelligence to train computers to keep up with the massive amounts of X-ray data taken at the Advanced Photon Source.

Argonne researchers using artificial intelligence to shape the future of science

Artificial intelligence is being called “the next generation of the way we do science.” At Argonne, researchers are leveraging the lab’s state-of-the-art-facilities and unparalleled expertise to shape the very future of science.

Helping companies use high-performance computing to improve U.S. manufacturing

Argonne is helping U.S. companies solve pressing manufacturing challenges through an innovative program that provides access to Argonne’s world-class computing resources and technical expertise.

Using artificial intelligence to recover energy, nutrients and freshwater from municipal wastewater

The Department of Energy has awarded Argonne and partners $2 million to develop an artificial intelligence-assisted system for energy, nutrient and freshwater recovery from municipal wastewater.

8 Things Argonne is Doing to Save the Earth

Stepping into their superhero gear, Argonne scientists are using science and the world’s best technology to combat some of Earth’s toughest foes, from pollution to climate change.

Preparing for exascale: Aurora supercomputer to help scientists visualize the spread of cancer

In advance of Argonne’s Aurora exascale supercomputer, Duke University assistant professor Amanda Randles is leading a new study to analyze cancer metastasis using HARVEY, a code that simulates blood vessels within the human body.

Argonne’s 2021 Maria Goeppert Mayer Fellows bring new energy, promise to their fields

The Department of Energy’s Argonne National Laboratory is proud to welcome five new FY21 Maria Goeppert Mayer Fellows to campus, each chosen for their incredible promise in their respective fields.

Virtual Argonne workshop provides guidance on using AI and supercomputing tools for science

The Argonne Leadership Computing Facility continues its efforts to build a community of scientists who can employ AI and data-intensive analysis at a scale that requires DOE supercomputers.

Sneak preview: New platform allows scientists to explore research environments virtually

The Department of Energy pledged $1.68 million to Argonne National Laboratory over three years so it can create a virtual platform or digital twin that will allow experimentalists to explore their proposed studies prior to visiting the labs.

Argonne innovations and technology to help drive circular economy

In a collaborative effort to “recover, recycle and reuse,” Argonne strengthens research that addresses pollution, greenhouse gases and climate change and aligns with new policies for carbon emission reduction.

The AI-driven initiative that’s hastening the discovery of drugs to treat COVID-19

Ten organizations have created a pipeline of artificial intelligence and simulation tools to narrow the search for drug candidates that can inhibit SARS-CoV-2.

Argonne Training Program on Extreme-Scale Computing seeks applications for 2021

ATPESC provides in-depth training on using supercomputers, including next-generation exascale systems, to facilitate breakthrough science and engineering.

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.

Argonne AI methods unravel mysteries of SARS-CoV-2 viral-human cell interaction

Using a combination of AI and supercomputing resources, Argonne researchers are examining the dynamics of the SARS-CoV-2 spike protein to determine how it fuses with the human host cell, advancing the search for drug treatments.

The high-tech evolution of scientific computing: A slight return

To leverage emerging computing capabilities and prepare for future exascale systems, the Argonne Leadership Computing Facility, a DOE Office of Science User Facility, is expanding its scope beyond traditional simulation-based research to include data science and machine learning approaches.

Creating the software that will unlock the power of exascale

Researchers nationwide are building the software and applications that will run on some the world’s fastest supercomputers. Among them are members of DOE’s Exascale Computing Project who recently published a paper highlighting their progress so far.

Virtual Argonne training program prepares researchers for extreme-scale computing

The annual Argonne Training Program on Extreme-Scale Computing went virtual this year, providing two weeks of instruction to ready attendees for science in the exascale era.

Filling in the blanks: How supercomputing can aid high-resolution X-ray imaging

Scientists are preparing for the increased brightness and resolution of next-generation light sources with a computing technique that reduces the need for human calculations to reconstruct images.

Six Argonne researchers receive DOE Early Career Research Program awards

Argonne scientists Michael Bishof, Maria Chan, Marco Govini, Alessandro Lovato, Bogdan Nicolae and Stefan Wild have received funding for their research as part of DOE’s Early Career Research Program.

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.

Argonne offers mentorship and resources to students in Department of Energy-sponsored graduate student research

As part of the Department of Energy’s Office of Science Graduate Student Research (SCGSR) Program, 62 graduate students were chosen to conduct thesis research across the national laboratory complex, including 12 students at Argonne.

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.

IMSA High School Internship advances DUNE project and showcases unexplored potential of physics

Argonne National Laboratory’s Illinois Mathematics and Science Academy (IMSA) High School Internship Program has this year’s exceptionally bright high school students working on the Deep Underground Neutrino Experiment (DUNE)’s world-changing research.

Teamwork Triumphs at 2020 Illinois Regional Middle School Science Bowl

The U.S. Department of Energy’s Argonne National Laboratory Educational Programs and Outreach hosted the 2020 Illinois Regional Science Bowl Competition, where 15 different schools competed in trivia across a wide range of STEM topics.

University of Toledo engineering students as future STEM leaders

On Monday, January 13, engineering students from the University of Toledo’s Roy and Marcia Armes Engineering Leaderships Institute (ELI) visited Argonne National Laboratory to prepare themselves for the leadership challenges facing engineers.

Chicago Public School students go beyond coding and explore artificial intelligence with Argonne National Laboratory

The U.S. Department of Energy’s Argonne National Laboratory’s Educational Programs and Outreach department hosted Computer Science for All — Coding and Beyond, in December as a part of the Argonne National Laboratory, Chicago initiative.

New UC San Diego Symposium Stirs Dialogue Among Data Science and Arts and Humanities Experts

On February 7 and 8, UC San Diego will bring together experts from data science and the arts and humanities to examine the emerging relationship between data and culture. The symposium will provide a forum for artists, historians, philosophers, literary scholars, political scientists, and computer and data scientists to explore how analytic techniques can unveil new understandings of culture, and how the proliferation of data in everyday life changes how culture is produced, distributed, and influenced.

Who’s Liable? The AV or the human driver?

Researchers at Columbia Engineering and Columbia Law School have developed a joint fault-based liability rule that can be used to regulate both self-driving car manufacturers and human drivers. They propose a game-theoretic model that describes the strategic interactions among the law maker, the self-driving car manufacturer, the self-driving car, and human drivers, and examine how, as the market penetration of AVs increases, the liability rule should evolve.

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.

InnovationXLab Summit brings industry, national laboratories together around artificial intelligence

The recent InnovationXLab℠ Summit on AI raised the profile of the national laboratories’ work in AI and forged new partnerships between industry and the national labs.