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LLNL’s rare-earth element biomining research team in their lab, left to right: Yongqin Jiao, Patrick Diep, Ziye Dong, Jeremy Seidel, Gauthier Deblonde, Dan Park and Christina Kang-Yun.
// S&T Highlights

A research collaboration between LLNL and Pennsylvania State University has generated a portfolio of intellectual property (IP), jointly owned by both organizations, that uses bacterial proteins to pick out critical metal ions.  

Machine learning and spectroscopy enable the exploration of the unique properties of ice surfaces.
// S&T Highlights

A recent study from LLNL used a combination of spectroscopy, simulation and machine learning to examine the surface of ice. 

An illustration of the sensor used to constrain the spatial extent of a neutrino.
// S&T Highlights

New research, published in Nature by a team including LLNL scientists, introduces an experimental technique to constrain the size of the neutrino’s wavepacket.

Atomic force microscope image of porous nickel oxide formed during the dissolution-reprecipitation process.
// S&T Highlights

New research from LLNL aims to tackle corrosion by predicting failure and informing the design of better materials.

An artist’s conception of the exoplanet K2-33b, a 10-Myr-old, Jupiter-sized planet, transiting in front of its active host star.
// S&T Highlights

LLNL, Arizona State University and Michigan State University dive deep into uncovering the compositions of 70 exoplanets through LLNL’s Computing Grand Challenge Program. 

Lawrence Livermore National Laboratory research engineer Travis Massey led the fabrication efforts behind an advanced implantable nose-computer interface capable of enhancing the ability of scent detection animals to identify contraband such as explosives and narcotics, as well as other types of important scents. The device is developed in partnership with neurotechnology company Canaery.
// S&T Highlights

LLNL researchers and neurotechnology company Canaery develop an advanced nose-computer interface (NCI) capable of enhancing the ability of scent-detection animals.

Researchers from Lawrence Livermore National Laboratory, the California Institute of Technology and Princeton University have introduced a revolutionary new class of materials known as 3D polycatenated architected materials. These intricate structures can behave with both solid and liquid-like properties and have the potential to impact industries ranging from engineering to medicine.
// S&T Highlights

In the evolving fields of materials science and 3D printing, LLNL engineers are exploring novel ways to create materials and structures that adapt and respond to their environments. 

When quantum mechanical particles scatter, it shifts the position of their wave. The new algorithm accurately measures these shifts, opening the way to quantum simulations of scattering processes.
// S&T Highlights

LLNL researchers, the InQubator for Quantum Simulations and the University of Trento develop an algorithm for a quantum computer that accurately simulates scattering. 

A 3D-printed, hand-shaped lattice scaffold infilled with another polymer representing the bones, which demonstrates the ability of cellular fluidics to pattern two different materials together in the same structure.
// S&T Highlights

LLNL engineering researchers achieve breakthroughs in multi-material additive manufacturing (3D printing) through the power of capillary action. 

Researchers are studying the brain’s response to eucalyptus wood smoke extract. Eucalyptus trees are of particular interest due to their high levels of toxicity when burned and their abundance across California, with some reaching between 150–200 feet tall.
// S&T Highlights

LLNL researchers and the Environmental Protection Agency seek to close the knowledge gap on how wildfire smoke exposure can affect the blood–brain barrier.