Preparing for exascale: Aurora supercomputer to help scientists visualize the spread of cancer

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.

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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.

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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.

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Argonne scientists help explain phenomenon in hardware that could revolutionize AI

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.

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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.

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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.

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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.

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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.

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10 ways Argonne science is combatting COVID-19

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.

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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.

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Building a better traffic forecasting model

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.

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Models show how COVID-19 cuts a neighborhood path

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.

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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.

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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.

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Argonne develops unprecedented long-term wildfire prediction model

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.

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Scientists use reinforcement learning to train quantum algorithm

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

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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.

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

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

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Theoretical breakthrough shows quantum fluids rotate by corkscrew mechanism

Scientists performed simulations of merging rotating superfluids, revealing a peculiar corkscrew-shaped mechanism that drives the fluids into rotation without the need for viscosity.

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Novel insight reveals topological tangle in unexpected corner of the universe

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.

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U.S. Department of Energy’s INCITE program seeks proposals for 2021

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.

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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.

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Argonne researchers focus on grid cybersecurity to pave the way for a clean energy future

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.

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New version of Earth model captures detailed climate dynamics

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.

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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.

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Researcher looking for clues in the mystery of the Grand Canyon’s water supply

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.

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Playing the angles with dramatic effect

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.

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Battery collaboration meeting discusses new pathways to recycle lithium-ion batteries

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.

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New Argonne model helps decision makers predict and plan for the future of electrified transportation

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.

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AI technique does double duty spanning cosmic and subatomic scales

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.

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