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Scientists use artificial intelligence to detect gravitational waves

DOE/Argonne National Laboratory
Peer-Reviewed Publication

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.

Journal: Nature Astronomy

People of Argonne's history: A look at leaders who made Argonne what it is today

DOE/Argonne National Laboratory

Since its founding, Argonne has employed and partnered with innovators whose contributions have dramatically pushed the frontiers of our understanding and improved the world.

A promising pathway to new cancer treatments

DOE/Argonne National Laboratory

Using Argonne National Laboratory's Advanced Photon Source, researchers have determined the structure of an enzyme that plays a key role in the spread of cancer cells.

Editors of MIT Technology Review name Argonne's Jie Xu as a 2021 Innovator Under 35

DOE/Argonne National Laboratory
Grant and Award Announcement

The editors of MIT Technology Review have chosen Argonne's Jie Xu as an Innovator Under 35 for 2021. She is one of only 35 innovators under the age of 35 named to this list. She is being recognized for her research on printable skin-like electronics.

Argonne's 2022 Maria Goeppert Mayer Fellows honor legacy of physics Nobel Laureate

DOE/Argonne National Laboratory
Grant and Award Announcement

Argonne's Maria Goeppert Mayer is one of only three 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.

Argonne researchers use AI to optimize a popular material coating technique in real time

DOE/Argonne National Laboratory
Peer-Reviewed Publication

Argonne researchers have demonstrated that AI approaches can be used to transform a vital layering technique for semiconductors.

Journal: ACS Applied Materials & Interfaces

Changes in farming practices could reduce greenhouse gas emissions by 70% by 2036

DOE/Argonne National Laboratory
Peer-Reviewed Publication

Team used Argonne's GREET model to simulate changes, predict outcomes.

Journal: Proceedings of the National Academy of Sciences

Can artificial intelligence open new doors for materials discovery?

DOE/Argonne National Laboratory

An Argonne engineer applied a specific type of artificial intelligence to the problem of how to predict material structures by only knowing some of their properties. This first-of-its-kind discovery led to further insights into the long-term durability of nuclear materials.

Argonne demonstrates benefits of restoring native vegetation at solar facilities

DOE/Argonne National Laboratory

Modeling different land use types, Argonne researchers demonstrate that the growth of native grasslands on large solar utility sites can help restore biodiversity, maintain ecosystem services and aid agriculture.

Advanced Photon Source helps reveal how antibodies bind a molecule linked to cancer

DOE/Argonne National Laboratory

Researchers have developed antibodies that can bind to phosphohistidine, an unstable molecule that's linked to cancer. To learn how the two bind together, the team turned to the powerful X-rays at Argonne's Advanced Photon Source. These new insights into its structure will help scientists design better antibodies for potential treatments.

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