The futuristic South Pole Telescope looks far back in time

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.

Computer hardware mimics brain functions

A multi-institutional team, including Argonne National Laboratory, has developed a material with which computer chips can be designed to reconfigure their circuits when presented with new information. It does so by mimicking functions in the human brain.

Machine learning program for games inspires development of groundbreaking scientific tool

Scientists have developed a groundbreaking AI-based algorithm for modeling the properties of materials at the atomic and molecular scale. It should greatly speed up materials discovery.

Scientists use artificial intelligence to detect gravitational waves

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 and Oak Ridge National Laboratories award Codeplay software

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.

DOE names six Argonne scientists to receive Early Career Research Program awards

Six Argonne scientists receive Department of Energy’s Early Career Research Program Awards.

Argonne’s Margaret Butler Fellowship offers opportunity to work on exascale computing applications

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.

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.

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.

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.

Seventeen from Argonne recognized with Secretary of Energy’s Honor Awards

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.

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.

Mira’s Last Journey: exploring the dark universe

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.

Do simulations represent the real world at the atomic scale?

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.

Q&A with Junhong Chen: Argonne’s lead water strategist addresses questions on managing our precious water resources

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.

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.

Active learning accelerates redox-flow battery discovery

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.

Automatic database creation for materials discovery: Innovation from frustration

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 use reinforcement learning to train quantum algorithm

Scientists are investigating how to equip quantum computers with artificial intelligence and machine learning approaches.

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.

Argonne and Sentient Science develop game-changing computer modeling program to improve discovery and design of new materials

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.

Solving materials problems with a quantum computer

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.

Argonne conducts largest-ever simulation of flow inside an internal combustion engine

Groundbreaking simulation provides data that could help manufacturers create greener engines.

Argonne’s researchers and facilities playing a key role in the fight against COVID-19

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 engineers streamline jet engine design

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.

Argonne’s debt to 2019 Nobel Prize for lithium-ion battery

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.