Research at Argonne National Laboratory is helping to illuminate how energy costs vary throughout the United States.
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.
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.
Argonne researchers have launched new map-based tools that show how communities held up as COVID-19 spread.
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.
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.
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.
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.
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.
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.
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.
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.
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.
ATPESC provides in-depth training on using supercomputers, including next-generation exascale systems, to facilitate breakthrough science and engineering.
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.
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.
Argonne computational resources supported the largest comprehensive analysis of COVID-19 genome sequences in the U.S. and helped corroborate growing evidence of a protein mutation.
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.
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.
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.
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.
Students attending the last 2020 Office of Science Summer Internship Virtual Lecture Series seminar learned about how national laboratories are coming together to fight COVID-19.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.