Science and Technology Highlights

From left: chemists Brian Mayer and Katelyn Mason and biologist Todd Corzett observe the operation of the robot that independently executes the acetylchlolinersterase assays the team uses to assess Novichok inhibition and to discover new oxime antidotes for Novichok poisoning.
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LLNL and Purdue University accelerate discovery of medical countermeasures for …

LLNL scientists and Purdue University collaborators develop and demonstrate a high-throughput, automated mass spectrometry platform.

LLNL and ELI began their partnership with the L3 HAPLS laser system, which LLNL built and delivered, and ELI now operates.
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ELI and LLNL strengthen collaboration

LLNL and the Extreme Light Infrastructure (ELI) European Research Infrastructure Consortium (ERIC) have signed a new Memorandum of Understanding that builds on their existing strategic collaboration for scientific research and laser innovation.

The European X-ray Free-Electron Laser was used to measure the structure of liquid carbon for the first time.
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Lasers measure liquid carbon structure for the first time

In a recent study, published in Nature, an international team including LLNL researchers experimentally measured the structure of liquid carbon for the first time.

As described in a recent paper published by Science, a new cancer drug candidate developed by Lawrence Livermore National Laboratory, BBOT (BridgeBio Oncology Therapeutics) and the Frederick National Laboratory for Cancer Research has demonstrated the ability to block tumor growth without triggering a common and debilitating side effect.
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Cancer drug candidate developed using supercomputing & AI blocks tumor growth w…

A new cancer drug candidate developed by LLNL and collaborators demonstrates the ability to block tumor growth without triggering a common and debilitating side effect.

Schematic illustration of the experimental setup. A beryllium capsule (yellow) is compressed, heated and probed by an X-ray source (pink). The scattered photons (purple) are collected by a detector (black). The green dots represent the beryllium ions and the blue-red clouds their electrons.
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Computational trick enables better understanding of exotic state of matter

LLNL and collaborators have succeeded in describing warm dense matter much more accurately than before using a new computational method. 

Under cryogenic conditions, a team from SLAC and LLNL used X-rays to trigger decomposition and measure the structure of high explosive molecules.
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Freezing molecules in place shows chemical reactions

In a new study LLNL researchers and collaborators triggered a slow decomposition of a high explosive and measured the effects on the molecules within it. 

A “one pot,” light-based 3D printing process developed by Lawrence Livermore National Laboratory researchers is addressing a longstanding challenge in additive manufacturing: how to fabricate suspended or overhanging features without cumbersome scaffolding requiring manual removal, a key hurdle to widespread adoption of Digital Light Processing printing technologies.
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LLNL team tackles support structure bottlenecks with dual-wavelength 3D printing

LLNL researchers develop a novel 3D printing technique that uses light to build complex structures, expanding possibilities in multi-material additive manufacturing. 

Rendering of Firefly’s Elytra spacecraft in lunar orbit providing Ocula lunar imaging services.
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LLNL’s high-resolution telescope system to usher in a new era of lunar explorat…

LLNL's state-of-the-art telescope system will be deployed onboard Firefly’s Elytra orbital vehicle to enable Firefly’s new Ocula imaging service.

Lawrence Livermore National Laboratory’s flagship exascale machine El Capitan maintained its status as the fastest supercomputer on the planet — claiming the No. 1 spot on not just one, but three of the most prestigious high-performance computing rankings.
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El Capitan reigns supreme across three major supercomputing benchmarks

LLNL flagship exascale machine El Capitan maintained its status as the fastest supercomputer on the planet — claiming the No. 1 spot on three of the most prestigious high-performance computing (HPC) rankings.

A team of researchers from Lawrence Livermore National Laboratory, Stanford University and the University of California, Los Angeles are using AI and machine learning to find potential treatments for amyotrophic lateral sclerosis (ALS) and other neurodegenerative diseases in the form of drugs prescribed for other conditions.
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LLNL researchers use AI to look for potential ALS treatments

LLNL researchers and collaborators are using artificial intelligence and machine learning (AI/ML) to try to find amyotrophic lateral sclerosis (ALS) treatments.