New machine-learning simulations reduce energy need for mask fabrics, other materials

A new computational effort between Argonne and 3M promises to reduce energy consumption without sacrificing material quality in the production of nonwoven plastics, commonly used in surgical masks.

What will it cost to cut the carbon footprint of cars sold in the U.S?

Argonne worked with automakers and energy companies to conduct a cradle-to-grave analysis of light-duty vehicles, which estimated the current and potential future costs and greenhouse gas emissions for vehicles over the entire course of their life cycle.

4 science advances coming in the exascale era

To celebrate Exascale Day, Argonne highlights some of the projects poised to make scientific breakthroughs on the upcoming Aurora exascale computer. Their research explores the spread of cancer, fusion energy, brain mapping, particle physics and more.

5 big strides from Argonne towards nuclear energy’s future

Nuclear energy is an exciting carbon-free energy source. Recent work at Argonne National Laboratory shows how nuclear energy can improve and why it is such an enticing resource in the fight against climate change.

Scientists use machine learning to accelerate materials discovery

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.

Helping companies improve energy efficiency through high performance computing

The U.S. Department of Energy (DOE) has awarded DOE’s Argonne National Laboratory with $600,000 in federal funding to work on two new projects that will advance cutting edge manufacturing and clean energy technologies.

Argonne researchers win four 2022 R&D 100 awards

R&D Magazine has recognized four Argonne projects with R&D 100 Awards.

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.

Machine Learning Framework IDs Targets for Improving Catalysts

Chemists at the U.S. Department of Energy’s Brookhaven National Laboratory have developed a new machine-learning (ML) framework that can zero in on which steps of a multistep chemical conversion should be tweaked to improve productivity. The approach could help guide the design of catalysts — chemical “dealmakers” that speed up reactions.

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.

Argonne captures 3 R&D 100 Awards for innovative technology

Three Argonne technologies were chosen as winners in the 2021 R&D 100 award competition, the nation’s most prestigious innovation awards program honoring R&D pioneers and their revolutionary ideas in science and technology.

DOE grants will help advance AI techniques to address data challenges

Argonne scientists have received two high-profile grants from the U.S. Department of Energy that will help scientists at the U.S. National Laboratories take advantage of the latest developments in machine learning technology.

U.S. Department of Energy’s Argonne National Laboratory and Hewlett Packard Enterprise prepare for exascale era with new testbed supercomputer

Argonne and HPE unveiled a new testbed supercomputer that will enable scientists and developers to test and optimize software codes and applications for the forthcoming exascale supercomputer, Aurora.

Argonne supercomputing resources power energy savings analysis

As part of a larger goal to model the energy use of every building in the nation, researchers from Oak Ridge National Laboratory have analyzed 178,000 buildings using the Argonne Leadership Computing Facility.

Bringing discoveries to light: X-ray science at Argonne

The Advanced Photon Source allows an intricate view of everything from proteins to nuclear fuel. With a planned upgrade, it will become even more powerful.

Climate experts share insights in new report from Argonne’s America Resilient Conference

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.

Department of Energy awards $4.15 million to Argonne to support collaborations with industry

The U.S. Department of Energy has awarded $4.15 million to Argonne National Laboratory to support collaborations with industry aimed at commercializing promising energy technologies.

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 announces 2022 Maria Goeppert Mayer Fellows, honoring the legacy of the physics Nobel Laureate

Argonne’s Maria Goeppert Mayer is one of only four women to win the Nobel Prize in physics. Today, on her 115th birthday, Argonne announces the award of its 2022 Maria Goeppert Mayer Fellowship to four outstanding early-career doctoral scientists.

Department of Energy Selects 32 Students for Prestigious Computational Fellowships

Today, the U.S. Department of Energy (DOE) announced the selection of 32 outstanding undergraduate and graduate students across the nation to receive the prestigious DOE Computational Science Graduate Fellowship, jointly managed by the Office of Science and the National Nuclear Security Administration (NNSA).

New AI-based tool can find rare cell populations in large single-cell datasets

MD Anderson researchers have developed a first-of-its-kind AI tool to identify rare groups of biologically important cells from the noise of large, complex single-cell datasets. The new tool, called SCMER, can help reserachers gain new insights across many applications.

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.

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.

Virtual climate conference explores adaptation and resilience

To bring together the country’s brightest minds to think critically about the climate challenges facing the nation and the key capabilities we have to solve them, the U.S. Department of Energy’s Argonne National Laboratory convened a virtual climate conference called “America Resilient.”

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.

Argonne National Laboratory climate model helps Pacific Gas and Electric Company combat climate change impacts, including wildfires

Scientists at Argonne developed a climate model that projects future conditions at neighborhood-level scale across the entire United States to help PG&E plan for extreme weather events in California.

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.

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.

Scientists use reinforcement learning to train quantum algorithm

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

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

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

Summit Helps Predict Molecular Breakups

A team used the Summit supercomputer to simulate transition metal systems—such as copper bound to molecules of nitrogen, dihydrogen, or water—and correctly predicted the amount of energy required to break apart dozens of molecular systems, paving the way for a greater understanding of these materials.

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.