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Biofuel on the road to energy, cost savings

Researchers at Argonne National Laboratory have identified promising new biofuels that can reduce greenhouse gas emissions by up to 60% while improving fuel efficiency or reducing tailpipe emissions. The biofuels, developed using advanced engine design, can be blended with conventional fuels to improve engine performance and meet more ...

SourceDOE/Argonne National Laboratory·JournalACS Sustainable Chemistry & Engineering·DateNov 10, 2022

Through thick and thin: X-rays track the behavior of soft materials

Scientists explore the dynamics of soft materials like toothpaste and hair gel using X-ray photon correlation spectroscopy (XPCS). The technique reveals microscopic dynamics and helps understand properties like viscosity and elasticity. Insights gained can aid in designing consumer products, nanotechnologies, and drug delivery systems.

SourceDOE/Argonne National Laboratory·JournalProceedings of the National Academy of Sciences·DateOct 10, 2022

Particles pick pair partners differently in small nuclei

A high-precision experiment reveals that protons and neutrons in small nuclei prefer to pair up with others of the same kind more often than expected. The study provides new details about short-distance interactions between particles and may impact results from experiments seeking to tease out further nuclear structure details.

SourceDOE/Thomas Jefferson National Accelerator Facility·JournalNature·TypeExperimental study·DateAug 31, 2022

Future-proofing the Great Lakes region through climate research: Improved regional climate models will help the Great Lakes Region become more informed, ready and resilient

A new study uses high-resolution regional model experiments to explore how lake surface temperatures may affect the climate of the Great Lakes region. Small differences in lake surface temperatures can have a significant impact on summer climate and fuel extreme weather events.

SourceDOE/Argonne National Laboratory·JournalJournal of Geophysical Research Atmospheres·DateAug 3, 2022

Researchers now able to predict battery lifetimes with machine learning

Scientists have developed a machine learning algorithm that can accurately predict the lifetimes of different battery chemistries using as little as a single cycle of experimental data. The technique could reduce costs and accelerate the development of new battery materials, enabling researchers to quickly evaluate and test multiple ma...

SourceDOE/Argonne National Laboratory·JournalJournal of Power Sources·DateMay 5, 2022

The quest for an ideal quantum bit

A team of scientists at Argonne National Laboratory has developed a new qubit platform formed by freezing neon gas into a solid and trapping an electron there. The platform shows great promise in achieving ideal building blocks for future quantum computers, with promising coherence times competitive with state-of-the-art qubits.

Lithium’s narrow paths limit batteries

Researchers found uneven charge distribution within lithium iron phosphate cathodes due to misaligned particles, leading to reduced battery performance. Introducing porosity or aligning particles could potentially improve uniform lithium insertion, enhancing energy density and charge/discharge rates.

SourceRice University·JournalACS Energy Letters·TypeExperimental study·DateApr 18, 2022

Neuromorphic computing widely applicable, Sandia researchers show

Sandia researchers have demonstrated that neuromorphic computers can solve more complex problems than artificial intelligence and may earn a place in high-performance computing. The findings show that neuromorphic simulations can track X-rays, disease spreading, information flowing through social networks, and financial markets.

SourceDOE/Sandia National Laboratories·JournalNature Electronics·TypeComputational simulation/modeling·DateMar 10, 2022

Evidence for exotic magnetic phase of matter

Researchers discovered a novel type of magnet, the antiferromagnetic excitonic insulator, which involves strong magnetic attraction between electrons in a layered material. The new state emerges when electrons form bound pairs with holes and trigger an antiferromagnetic alignment of adjacent electron spins.

SourceDOE/Brookhaven National Laboratory·JournalNature Communications·TypeExperimental study·DateFeb 22, 2022

Screening study IDs inhibitor of key COVID virus enzyme

A team of scientists at Brookhaven National Laboratory has identified a molecule with significant potential to disable the COVID-19 virus. The molecule was discovered using high-throughput virtual screening and laboratory experiments, and its ability to bind to the virus's main protease was confirmed through structural studies.

SourceDOE/Brookhaven National Laboratory·JournalJournal of Chemical Information and Modeling·TypeComputational simulation/modeling·DateJan 26, 2022

Crystallography for the misfit crystals

Scientists have developed a new technique called small-molecule serial femtosecond X-ray crystallography (smSFX) that can reveal the structures of not-so-neat-and-tidy materials. This method uses an exceptional X-ray laser and custom-built image processing algorithms to diffract individual granules of powders, providing a precise sharp...

SourceDOE/Lawrence Berkeley National Laboratory·JournalNature·TypeExperimental study·DateJan 19, 2022

How to transform vacancies into quantum information

Scientists have made a breakthrough in controlling the formation of vacancies in silicon carbide, a semiconductor material. The team's simulations tracked the pairing of individual vacancies into a divacancy and discovered the optimal temperatures for creating stable divacancies. This discovery could lead to highly sensitive sensors an...

SourceDOE/Argonne National Laboratory·JournalNature Communications·DateDec 15, 2021

These tiny liquid robots never run out of juice as long as they have food

Researchers at Lawrence Berkeley National Laboratory have developed water-walking liquid robots that can retrieve and deliver precious chemicals autonomously. The robots use chemistry to control buoyancy and do not require electrical energy, making them ideal for applications such as chemical synthesis and drug delivery.

SourceDOE/Lawrence Berkeley National Laboratory·JournalNature Chemistry·TypeExperimental study·DateDec 8, 2021

Southern Company signs agreement with US Department of Energy to demonstrate world’s first fast-spectrum salt reactor in collaboration with TerraPower, Idaho National Laboratory

The Molten Chloride Reactor Experiment will provide crucial operational data for fast-spectrum salt reactors and unlock this uniquely flexible advanced reactor technology for use in a net-zero future. The project represents a significant inflection point in the technology demonstration roadmap for TerraPower's MCFR.

Converting methane to methanol -- with and without water

A team at Brookhaven National Laboratory has identified a common industrial catalyst that can efficiently convert methane to methanol with or without water. The findings suggest strategies for improving the water-free conversion, achieving 30% selectivity in the absence of water, and 80% selectivity with water.

SourceDOE/Brookhaven National Laboratory·JournalJournal of the American Chemical Society·TypeExperimental study·DateNov 8, 2021