Scientists exploit a property of quantum physics to make ultraprecise sensors and measurements.
Argonne National Laboratory is reimagining the lab spaces and scientific careers of the future by harnessing the power of robotics, artificial intelligence and machine learning in the quest for new knowledge.
Argonne National Laboratory and the Missouri University of Science and Technology have been awarded funding for a program that aims to generate insights about the universe while expanding diversity in the high energy physics field.
The U.S. Department of Energy (DOE) announced $37 million in funding for 52 projects to 44 institutions which include Argonne projects. The funding will help build research capacity, infrastructure and expertise at institutions historically underrepresented.
The U.S. Department of Energy has renewed the Midwest Integrated Center for Computational Materials. Its mission is to apply theoretical methods and software to the understanding, simulation and prediction of material properties at the atomic scale.
Antibody therapies are only effective if the antibodies do what we want them to do. This research can help scientists determine if an antibody is likely to stick to something other than the intended target, which should lessen the amount of time wasted with overly sticky antibodies.
Argonne and Chicago State University deployed instruments at the Chicago State University Campus to measure Chicago’s changing climate. These sensors are among the first for the Argonne-led Urban Integrated Field Laboratory called Community Research on Climate and Urban Science (CROCUS).
Whether Ant-Man is shrinking between atoms or communicating through entangled particles, his true superpower is his ability to excite people about quantum science. Argonne assembled experts to spread the word about the real science of the quantum realm.
Argonne and Northeastern Illinois University launched instruments to measure Chicago’s changing climate. These sensors are the first for the Argonne-led Urban Integrated Field Laboratory called Community Research on Climate and Urban Science (CROCUS).
With the help of Argonne National Laboratory, Epstein-Barr Virus researchers identified a viral protein as a target for antiviral and vaccine development, as well as an antibody that might benefit the immunocompromised.
To help computer models better mimic reality, Argonne National Laboratory and Sandia National Laboratories will collaborate on agent-based modeling projects.
While COVID-19 may be transitioning from a “pandemic” to an “endemic” phase, it remains critically important to continue tracking the virus in real-time.
The Intro to AI-Driven Science on Supercomputers training series gives students hands-on experience using the Lab’s high performance computing resources.
Argonne National Laboratory will be partnering with three companies as part of a voucher program provided by the Gateway for Accelerated Innovation in Nuclear program of the U.S. Department of Energy’s Office of Nuclear Energy.
Computer scientists at the University of Massachusetts Amherst, in collaboration with biologists at the Cornell Lab of Ornithology, recently announced in the journal Methods in Ecology and Evolution a new, predictive model that is capable of accurately forecasting where a migratory bird will go next—one of the most difficult tasks in biology.
Sibendu Som, whose work focuses on high-fidelity simulations of power generation and propulsion systems, has been designated a fellow by the American Society of Mechanical Engineers.
Linda Young, an Argonne Distinguished Fellow in the Chemical Sciences and Engineering division will receive an honorary doctorate from Uppsala University in Sweden on Jan. 27.
As the latest recipient of the Argonne Leadership Computing Facility’s Margaret Butler Fellowship, Madhurima Vardhan will use Argonne’s supercomputing and AI to advance biomedical research.
Shifting climates are causing utility companies to take a closer look at the current and future power needs of their customers. Northern Illinois’ ComEd and Argonne National Laboratory used science to glimpse the future.
Through the Data4All High School Bridge workshop, high school students are learning invaluable lessons about data science and taking their first step towards data-focused STEM learning in college and beyond.
Argonne researchers put their stamp on 2022 with accomplishments as varied as quantum science, wearable medical sensors, and climate change resilience and recovery.
Argonne is participating in local STEM fests again after going on hiatus during the pandemic.
When it comes to predicting disasters brought on by extreme events (think earthquakes, pandemics or “rogue waves” that could destroy coastal structures), computational modeling faces an almost insurmountable challenge: Statistically speaking, these events are so rare that there’s just not enough data on them to use predictive models to accurately forecast when they’ll happen next.
In a recent study, Argonne National Laboratory researchers showed how artificial intelligence could help pinpoint the right types of molten salts for nuclear reactors.
Argonne is creating a supermerger between its new Aurora supercomputer and upgraded Advanced Photon Source. The combined data collection and computing power will enable ultrafast data analysis, advance discovery time and unlock new science.
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.
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.