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.
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 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 and engineers are looking toward AI — specifically, machine learning — to help us better understand the mechanics that govern nuclear reactors.
Distributed energy resources use electronics to communicate with each other or with a control center. Yet this presents opportunities for cyber attacks that could become real threats to the electric power system. Argonne experts are developing ways to protect power systems from these threats before they can occur.
DOE laboratories are collaborating on a new high-resolution Earth systems model to predict climate trends into the next century. The model will provide the scientific basis by which to mitigate the effects of extreme climate on energy and other essential services.
Researchers have put a new technique based on machine learning to work uncovering the secrets of buried interfaces and edges in a material.
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.
Research technician Natalie Jones is the lead author on a paper that looked at how scientists model the vulnerability of karst formations around the Grand Canyon. Along with professor Abe Springer, she created a new model that can give land and water managers more information so they can better protect the water system.
From the Department of Energy’s Oak Ridge National Laboratory, January 2020
Researchers report the most complete model to date concerning the transition from metal to insulator in correlated oxides. These oxides have fascinated scientists because of their many attractive electronic and magnetic properties.
At a conference held by the ReCell Center, an advanced battery recycling collaboration based at Argonne, representatives from industry, government, and academia discussed innovative approaches for lithium-ion battery recycling.
Fusion power researchers at TAE Technologies employ Argonne supercomputers to develop magnetic fusion plasma confinement devices as a means to generate unlimited electricity.
Argonne researchers have developed a large-scale computational model that helps decision makers allocate investment in electrified transportation infrastructure and serve consumers interested in owning electric vehicles.
While high-energy physics and cosmology seem worlds apart in terms of sheer scale, physicists and cosmologists at Argonne are using similar machine learning methods to address classification problems for both subatomic particles and galaxies.