Argonne scientists use AI to identify new materials for carbon capture

Researchers at the U.S. Department of Energy’s Argonne National Laboratory have used new generative AI techniques to propose new metal-organic framework materials that could offer enhanced abilities to capture carbon

Argonne training program alumni find success in extreme-scale computing

Past attendees of the annual Argonne Training Program on Extreme-Scale Computing are thriving in careers across the field of high performance computing.

American nuclear power plants are among the most secure in the world — what if they could be less expensive, too?

Argonne collaborates with Purdue University on new research aimed at lowering the cost of developing small nuclear reactors.

Argonne researchers to present cutting-edge work at SC23 conference

Argonne scientists recognized for use of exascale computing tools to achieve high-fidelity simulations of advanced nuclear reactor systems and high-resolution simulations that reduce uncertainty in climate model predictions.

A revolution in the making

Argonne National Laboratory is shaping Industry 4.0 with groundbreaking research into advanced ways of making things more effective, efficient and economical, using the most cutting-edge materials and processes, with the lowest possible environmental impact.

Using artificial intelligence, Argonne scientists develop self-driving microscopy technique

Argonne researchers have tapped into the power of AI to create a new form of autonomous microscopy.

Mount Sinai Announces Partnership With the Chiba Institute of Technology in Japan Focusing on Artificial Intelligence to Transform Cardiovascular Research

Agreement aims to help make clinical trials more efficient and lead to faster advances in patient care

Autonomous discovery defines the next era of science

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 researchers receive funding to build research capacity at historically underrepresented institutions

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.

Midwest Integrated Center for Computational Materials renewed by U.S. Department of Energy

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.

Researchers use Argonne X-rays to find the best antibodies

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.

Chicago State University to serve as ​‘scientific supersite’ to study climate change impact

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).

5 ways Argonne entangled with Ant-Man to get people to geek out about quantum science

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.

New tools to combat Chicago’s changing climate

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).

Projects to fight biological threats receive $5 million in federal funding

To help computer models better mimic reality, Argonne National Laboratory and Sandia National Laboratories will collaborate on agent-based modeling projects.

Argonne to work with nuclear companies in 3 projects funded by the Department of Energy

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.

To know where the birds are going, researchers turn to citizen science and machine learning

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.

Argonne’s Sibendu Som named American Society of Mechanical Engineers Fellow

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.

Argonne Distinguished Fellow Linda Young to receive honorary doctorate

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.

ComEd report shows how science and supercomputers help utilities adapt to climate change

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.

A year in review: Argonne’s breakthroughs in 2022

Argonne researchers put their stamp on 2022 with accomplishments as varied as quantum science, wearable medical sensors, and climate change resilience and recovery.

Study shows how machine learning could predict rare disastrous events, like earthquakes or pandemics

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.

Aurora and the upgraded Advanced Photon Source to power discovery at Argonne

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.

Adapting language models to track virus variants

Groundbreaking research by Argonne National Laboratory finds new method to quickly identify COVID-19 virus variants. Their work wins the Gordon Bell Special Prize.

New machine-learning simulations reduce energy need for mask fabrics, other materials

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.

What will it cost to cut the carbon footprint of cars sold in the U.S?

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.

4 science advances coming in the exascale era

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.

5 big strides from Argonne towards nuclear energy’s future

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 use machine learning to accelerate materials discovery

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.

Helping companies improve energy efficiency through 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.

Argonne researchers win four 2022 R&D 100 awards

R&D Magazine has recognized four Argonne projects with R&D 100 Awards.

The futuristic South Pole Telescope looks far back in time

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.

Machine Learning Framework IDs Targets for Improving Catalysts

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.

Machine learning program for games inspires development of groundbreaking scientific tool

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.