Groundbreaking research by Argonne National Laboratory finds new method to quickly identify COVID-19 virus variants. Their work wins the Gordon Bell Special Prize.
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.
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.
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.
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.
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.
R&D Magazine has recognized four Argonne projects with R&D 100 Awards.
Heating and cooling for buildings accounted for the United States’ biggest share (41 percent) of energy consumption in 2010, and energy use by buildings amounts to 40 percent of total U.S. carbon dioxide emissions. A new method allows researchers to test the design of neighborhoods and buildings to understand how they affect local and regional weather and energy use.
Adrian Sabau of the Department of Energy’s Oak Ridge National Laboratory has been named an ASM International Fellow.
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 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.
Starting October 25, a group of scientists will host a workshop to identify ways to create artificial intelligence-informed models of the Earth’s climate.
Argonne and Parallel Works, Inc., won the Federal Laboratory Consortium’s Midwest Regional Award for Excellence in Technology Transfer for bringing Argonne’s Machine Learning-Genetic Algorithm (ML-GA) design optimization software to commercialization.
The U.S. Department of Energy (DOE) recently awarded nearly $54 million to 10 new microelectronics research projects. Scientists Supratik Guha and Valerie Taylor at DOE’s Argonne National Laboratory will lead two of these projects.
Computer simulations can help us understand interactions in materials for solar energy harvesting, but they can be extremely complex. Researchers at Argonne have simplified these modeling tasks using machine learning to speed up materials development.
Charles M. “Chick” Macal, a modeling and simulation expert at Argonne, garnered the distinguished title of Fellow of the Society for Computer Simulation International for his 20 years in the field and his recent studies on COVID-19 spread.
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.
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.
Argonne scientists across several disciplines have combined forces to create a new process for testing and predicting the effects of high temperatures on refractory oxides.
Using Argonne’s high-performance computing resources, researchers developed a new design for Caterpillar’s engines that could improve fuel efficiency while reducing harmful emissions.
Collaborators use experiments, high-fidelity simulations and machine learning to deliver predictive tools to engine manufacturers.
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.”
Amgad Elgowainy leads a team of researchers, postdocs and software developers in Argonne National Laboratory’s Systems Assessment Center. Elgowainy has collaborated with several industry partners to develop a better hydrogen refueling method that can potentially save time and costs. He…
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.
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.
A group of scientists from around the country, including those at Argonne National Laboratory, have discovered a way to make AI-related hardware more efficient and sustainable.
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.
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.
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.
The new projects will use DOE’s leadership-class supercomputers to pursue transformational advances in science and engineering.
Researchers from Argonne have developed a new way to accurately forecast traffic and proved that it could work using as their model the California highway system, the busiest in the United States.
A research team led by UC Irvine and the University of Washington has created a new model of how the coronavirus can spread through a community. The model factors in network exposure — whom one interacts with — and demographics to simulate at a more detailed level both where and how quickly the coronavirus could spread through Seattle and 18 other major cities.
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.
Wildfire indices and high-resolution climate models combine to produce a detailed historical analysis of wildfire events across the U.S. and suggest the potential for more severe and frequent fires in the latter half of the century.
Scientists are investigating how to equip quantum computers with artificial intelligence and machine learning approaches.
As the Consortium for the Advanced Simulation of Light Water Reactors — DOE’s first Energy Innovation Hub — ends and transitions to VERA Users Group, it has had a long-ranging impact on the nuclear industry.
University reports a new electrocatalyst that converts carbon dioxide and water into ethanol with very high energy efficiency, high selectivity for the desired final product and low cost.
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.
An ORNL team developed CrossVis, an open-source, customizable visual analytics system that analyzes numerical, categorical and image-based data while providing multiple dynamic, coordinated views of these and other data types.
Groundbreaking simulation provides data that could help manufacturers create greener engines.
ARPA-E’s GEMINA funding will allow Argonne’s nuclear scientists to partner with industry and develop tools for the advanced reactors of tomorrow.
Scientists performed simulations of merging rotating superfluids, revealing a peculiar corkscrew-shaped mechanism that drives the fluids into rotation without the need for viscosity.
Argonne researchers lead highly detailed COVID-19 modeling efforts to understand how the virus spreads through populations.
In a recent theoretical study, scientists discovered the presence of the Hopfion topological structure in nano-sized particles of ferroelectrics — materials with promising applications in microelectronics and information technology.
Researchers using DOE supercomputers, including Argonne’s Theta, produced pivotal 3D simulations to elucidate the physics behind the collapse of massive stars.