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.
Designed to detect the oldest light in the universe, the South Pole Telescope is helping researchers at Argonne and around the world to learn about the beginnings of the universe.
The Early Career Research Program Awards are a prestigious funding opportunity for early career researchers. Only 83 researchers have received funding of hundreds of applications, and only 27 of those are national laboratory researchers. Four scientists from Argonne have received funding.
America Resilient proposed key ways to mitigate the degree of likely human suffering, loss of biodiversity, and disruptions to critical societal systems by building resilience and mitigating the effects of climate change in the United States.
Researchers at Argonne have used artificial intelligence to dramatically reduce the time it takes to process data coming from the Laser Interferometer Gravitational-Wave Observatory.
Modeling different land use types, Argonne researchers demonstrate that the growth of native grasslands on large solar utility sites can help restore biodiversity, maintain ecosystem services and aid agriculture.
Six Argonne scientists receive Department of Energy’s Early Career Research Program Awards.
Now open for applications, Argonne’s Margaret Butler Fellowship in Computational Science offers an opportunity for one postdoc to work at the forefront of scientific computing at the Argonne Leadership Computing Facility.
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’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.
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.
Six groups that included seventeen scientists from the U.S. Department of Energy’s (DOE) Argonne National Laboratory were recent recipients of the DOE’s 2020 Secretary of Energy’s Honor Awards.
The research described in the winning paper is focused on using a high-performance, iterative reconstruction system for noninvasive imaging at synchrotron facilities.
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.
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.
A collaboration between the University of Cambridge and Argonne has developed a unique method of generating automatic databases to support specific fields of science using AI and high-performance computing.
Scientists are investigating how to equip quantum computers with artificial intelligence and machine learning approaches.
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.
A new artificial neural network model, created by Argonne scientists, handles both static and dynamic features of a power system with a relatively high degree of accuracy.
Groundbreaking simulation provides data that could help manufacturers create greener engines.
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.
Argonne researchers lead highly detailed COVID-19 modeling efforts to understand how the virus spreads through populations.
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 Argonne Leadership Computing Facility recently hosted a workshop to help researchers advance code development efforts for Argonne’s upcoming exascale system, Aurora.
As April 22 marks the 50th anniversary of Earth Day, the U.S. Department of Energy’s Argonne National Laboratory lists its Top 10 green projects, setting itself as an example of honoring every day as Earth Day.
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.
Argonne scientists are working around the clock to analyze the virus to find new treatments and cures, predict how it will propagate through the population, and make sure that our supply chains remain intact.
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.