Science and Technology Highlights

A study led by Lawrence Livermore National Laboratory scientists is providing new insights into the complex interactions between proteins and cell membranes, combining detailed molecular simulations and large-scale models. The scientists compared their new dynamic density functional theory (DDFT) model to “ground truth” datasets (labeled “MD”). The DDFT model can be run in a single afternoon on a laptop, instead of the several weeks required to generate the MD data on a supercomputing cluster.
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A recent study led by LLNL scientists is offering new insight into modeling complex protein interactions using a combination of detailed molecular simulations and large-scale models. 

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.
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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.  

The latest Big Ideas Lab episode explores LLNL's technology transfer program. Overseen by the Innovation and Partnerships Office, the goal of technology transfer is to bring LLNL breakthroughs to market through research collaborations, technology commercialization and entrepreneurship.
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This episode of the Big Ideas Lab podcast takes a deep dive into how the Innovation and Partnerships Office facilitates tech transfer at LLNL and some of the most impactful success stories over the years. 

Researchers from LLNL and Verne, a San Francisco-based start-up, have demonstrated an efficient and novel pathway to hydrogen densification. The high-pressure cryogenic heat exchanger-based system used for this work is shown to the right of the picture. From left to right, Nick Killingsworth, a mechanical engineer at LLNL, and Telis Athanasopoulos Yogo, a Verne mechanical engineer, watch as Kara Zhang, a Verne process engineer, installs a vacuum pressure gauge on the system.
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LLNL and Verne have demonstrate a novel pathway for creating high-density hydrogen.

Machine learning and spectroscopy enable the exploration of the unique properties of ice surfaces.
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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.
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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.
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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.
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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.
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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.
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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.