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.
All About Energy challenges high school students from across Chicago to research data and raise awareness of environmental justice issues that affect local communities.
Argonne expands and upgrades ALCF data center to prepare for Aurora and future high performance computing systems.
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.
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.
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.
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.
Argonne hosted a sustainable aviation fuels workshop, bringing together over 100 leaders in the U.S. aviation industry to discuss their mutual goals of achieving a greener future for commercial aviation.
Scientists at Argonne’s Advanced Photon Source have created a new method using artificial intelligence to speed up the analysis of X-ray diffraction data.
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.
Scientists at Argonne have used machine learning algorithms to predict how long a lithium-ion battery will last.
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.
Wet electrolyte could be a key to inexpensive energy storage.
Large ion clusters known as aggregates are an important emerging topic for research on electrolytes in batteries. The research indicates that aggregates can affect electrolyte properties, including stability and ion transport.
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.
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 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.
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.
Argonne and the New York Power Authority are collaborating to determine how the utility’s infrastructure may be affected by extreme weather and other hazards.
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.
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.
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’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.
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).
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.
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.
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.
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.
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.”
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.
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 mystery of how supernovae fully form and function is one of many secrets of the universe that scientists have yet to unravel, but new work by a Florida State University research team has used theory and computations to show how one class of these luminous stellar explosions go from a slow burn to a brilliant detonation.
Using public data from the entire 1,500-square-mile Los Angeles metropolitan area, PNNL researchers reduced the time needed to create a traffic congestion model by an order of magnitude, from hours to minutes.
The research described in the winning paper is focused on using a high-performance, iterative reconstruction system for noninvasive imaging at synchrotron facilities.
Argonne scientists will attend the virtual SC20 conference to share research advances in areas ranging from exascale computing and big data analysis to AI and quantum computing.
The laboratory’s Educational Programs and Outreach department successfully transitioned all of its summer programming to a virtual learning environment.
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.
PNNL researchers used machine learning to develop a tool for a nonprofit to identify orthopedic implants in X-ray images to improve surgical speed and accuracy
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.
High school summer students at Brookhaven Lab conduct computational studies, explore inhibitor drugs to disrupt COVID viral proteins that help infectious particles escape from cells.
Scientists are investigating how to equip quantum computers with artificial intelligence and machine learning approaches.
Students attending the last 2020 Office of Science Summer Internship Virtual Lecture Series seminar learned about how national laboratories are coming together to fight COVID-19.
Groundbreaking simulation provides data that could help manufacturers create greener engines.
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.
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.