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Researchers now able to predict battery lifetimes with machine learning

DOE/Argonne National Laboratory
Peer-Reviewed Publication

Scientists at Argonne have used machine learning algorithms to predict how long a lithium-ion battery will last.

Journal: Journal of Power Sources

The quest for an ideal quantum bit

DOE/Argonne National Laboratory
Peer-Reviewed Publication

Scientists have developed a qubit platform formed by freezing neon gas into a solid, spraying electrons from a light bulb’s filament onto it, and trapping a single electron there. This system shows great promise as an ideal building block for quantum computers.

Journal: Nature

Machine learning program for games inspires development of groundbreaking scientific tool

DOE/Argonne National Laboratory

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.

Journal: Nature Communications

Water containing battery electrolyte could enable cheaper, easier to produce batteries

DOE/Argonne National Laboratory

Wet electrolyte could be a key to inexpensive energy storage.

Can the U.S. become a global leader in battery manufacturing?

DOE/Argonne National Laboratory

The U.S. has great potential to become a global leader in battery manufacturing, but critical challenges still need to be addressed to realize that potential. This was a key takeaway of Bridging the Gap, a recent two-day workshop hosted by Li-Bridge.

Fermilab engineers develop new control electronics for quantum computers that improve performance, cut costs

DOE/Fermi National Accelerator Laboratory
Peer-Reviewed Publication

Quantum computing experiments now have a new control and readout electronics option that will significantly improve performance while replacing cumbersome and expensive systems. Developed by a team of engineers at Fermilab in collaboration with the University of Chicago, the Quantum Instrumentation Control Kit, or QICK for short, is easily scalable.

Journal: Review of Scientific Instruments

A new research priority for next-generation batteries

DOE/Argonne National Laboratory

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.

Journal: ACS Energy Letters

U.S. Department of Energy’s INCITE program seeks proposals for 2023

DOE/Argonne National Laboratory
Business Announcement

The INCITE program is aimed at large-scale scientific computing projects that require the power and scale of DOE’s leadership-class supercomputers.

Argonne scientists discover new way to diagnose cracks in concrete

DOE/Argonne National Laboratory

A chemical reaction that causes concrete to crack and deteriorate can now be identified without harm, according to Argonne scientists.

Argonne and Parallel Works win highest honor from Federal Laboratory Consortium for Excellence in Technology Transfer

DOE/Argonne National Laboratory

Argonne National Laboratory and Parallel Works, Inc., won the 2022 Federal Laboratory Consortium’s (FLC) National Award for Excellence in Technology Transfer for their effort to bring Machine Learning–Genetic Algorithm software to commercialization.

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