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.
Argonne National Laboratory (Argonne) in collaboration with Oak Ridge National Laboratory (ORNL), has awarded Codeplay a contract implementing the oneAPI DPC++ compiler, an implementation of the SYCL open standard software, to support AMD GPU-based high-performance compute (HPC) supercomputers.
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.
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.
Argonne’s workforce has supported gender equality and diversity with various initiatives for 30 years.
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.
ATPESC provides in-depth training on using supercomputers, including next-generation exascale systems, to facilitate breakthrough science and engineering.
Scientists used a supercomputer to perform one of the five largest cosmological simulations ever — the Last Journey. This simulation will provide crucial data for sky maps to aid leading cosmological experiments.
A multidisciplinary research team has developed a strategy to validate computer simulations of oxide/water interfaces at the atomic scale using X-ray reflectivity experiments. Such interfaces are key in many energy applications.
HPCwire magazine recognizes two Argonne teams for outstanding achievement in their use of high performance computing.
Argonne’s Junhong Chen discusses how Argonne’s wide-ranging expertise combined with use of artificial intelligence and world-class research facilities can solve problems in water science and engineering.
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 scientists will attend the virtual SC20 conference to share research advances in areas ranging from exascale computing and big data analysis to AI and quantum 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.
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.
In a new study from the U.S. Department of Energy’s Argonne National Laboratory, researchers are accelerating the hunt for the best possible battery components by employing artificial intelligence.
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.
Leaders from DOE and Argonne cut the ribbon on a new era of manufacturing — science and technology that will accelerate commercialization of complex materials and chemicals critically important to U.S. competitiveness.
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.
Researchers collaborated to create a software program to accelerate discovery and design of new materials for applications allowing for a far more comprehensive understanding of materials from atomistic to mesoscopic scale than ever before.
Scientists at Argonne and the University of Chicago have developed a method paving the way to using quantum computers to simulate realistic molecules and complex materials. They tested the method on a quantum simulator and IBM quantum computer.
Groundbreaking simulation provides data that could help manufacturers create greener engines.
This new agreement will dramatically improve and reduce the computational expense of fluid dynamics models. Both partners aim to improve the design and durability of engine components.
Argonne researchers lead highly detailed COVID-19 modeling efforts to understand how the virus spreads through populations.
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.
Argonne scientists are combining one-of-a-kind x-ray experiments with novel computer simulations to help engineers at aerospace and defense companies save time and money.
A roar of approval rang out at the U.S. Department of Energy’s (DOE’s) Argonne National Laboratory upon the announcement in October that John B. Goodenough, M. Stanley Whittingham and Akira Yoshino had won the 2019 Nobel Prize in Chemistry. On December 10th in Stockholm, they received this highly coveted prize for their major contributions to the invention of the lithium-ion battery, which is a long-standing major focus of research at Argonne.