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Computational Sciences

Updates every hour. Last Updated: 6-May-2025 16:09 ET (6-May-2025 20:09 GMT/UTC)

Constriction junction, do you function?

DOE/Brookhaven National Laboratory
Peer-Reviewed Publication

Scientists from the U.S. Department of Energy’s (DOE) Brookhaven National Laboratory have shown that a type of qubit whose architecture is more amenable to mass production can perform comparably to qubits currently dominating the field. With a series of mathematical analyses, the scientists have provided a roadmap for simpler qubit fabrication that enables robust and reliable manufacturing of these quantum computer building blocks.

Journal: Physical Review A

Molecular simulations, supercomputing lead to energy-saving biomaterials breakthrough

DOE/Oak Ridge National Laboratory
Peer-Reviewed Publication

A team led by scientists at ORNL identified and demonstrated a method to process a plant-based material called nanocellulose that reduced energy needs by a whopping 21%, using simulations on the lab’s supercomputers and follow-on analysis.

Journal: Proceedings of the National Academy of Sciences

Researchers discover a surprising way to jump-start battery performance

DOE/SLAC National Accelerator Laboratory
Peer-Reviewed Publication

In a study published today in Joule, researchers at the SLAC-Stanford Battery Center report that giving batteries their first charge at unusually high currents increased their average lifespan by 50% while decreasing the initial charging time from 10 hours to just 20 minutes.

Journal: Joule

Swifter simulations for modern science. All of it

DOE/Sandia National Laboratories
Peer-Reviewed Publication

In a machine learning paper recently published in the journal npj Computational Materials, a team of researchers from Sandia National Laboratories and Brown University have introduced a universal way to accelerate virtually any kind of simulation.

Journal: npj Computational Materials

A visionary approach: How an Argonne team developed accessible maps for colorblind scientists

DOE/Argonne National Laboratory
Peer-Reviewed Publication

Researchers from the U.S. Department of Energy’s (DOE) Argonne National Laboratory worked with the Color Vision Deficiency (CVD) community to create CVD-friendly colormaps that are more inclusive and accessible.

Journal: Bulletin of the American Meteorological Society

Researchers observe “locked” electron pairs in a superconductor cuprate

DOE/SLAC National Accelerator Laboratory
Peer-Reviewed Publication

The finding could help future efforts to design superconductors that work at higher temperatures.

Journal: Science

Revealing the mysteries within microbial genomes

DOE/Lawrence Berkeley National Laboratory
Peer-Reviewed Publication

A new technique developed at Berkeley Lab will make it much easier for researchers to discover the traits or activities encoded by genes of unknown function in microbes, a key step toward understanding the roles and impact of individual species within the planet’s diverse microbiomes.

Journal: Nature Communications

The mother of all motion sensors

DOE/Sandia National Laboratories
Peer-Reviewed Publication

For the first time, researchers from Sandia National Laboratories have used silicon photonic microchip components to perform a quantum sensing technique called atom interferometry, an ultra-precise way of measuring acceleration. It is the latest milestone toward developing a kind of quantum compass for navigation when GPS signals are unavailable.

Journal: Science Advances

Ships now spew less sulfur, but warming has sped up

DOE/Pacific Northwest National Laboratory
Peer-Reviewed Publication

New findings document fewer ship tracks, reduced cloud cover, and boosted warming after ship emissions regulations took effect in 2020.

Journal: Geophysical Research Letters

Ability to track nanoscale flow in soft matter could prove pivotal discovery

DOE/Argonne National Laboratory
Peer-Reviewed Publication

Scientists developed a novel technique using X-ray photon correlation spectroscopy to study soft matter at the nanoscale. This method enables precise determination of the flow behavior of nanoparticles in soft matter exposed to an external stimulus.

Journal: Proceedings of the National Academy of Sciences

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