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Diagnostics technician assembles a TARDIS x-ray diffraction diagnostic
// S&T Highlights
A paper describing the design and performance of a workhorse NIF experimental platform known as TARDIS (target diffraction in situ) was a featured article in a recent edition of the journal Review of Scientific Instruments.
Structure of a lithium chloride solution confined in a 1.1 nanometer diameter carbon nanotube
// S&T Highlights
A multi-institutional research team explored how the structure and electronic properties of liquid water can be affected by the presence of ions and nanoconfinement
X-ray images COVID patient
// S&T Highlights
A team led by a Livermore computer scientist proposes a novel deep learning approach aimed at improving the reliability of models designed for predicting disease types from diagnostic images.
Topological analysis of X-ray CT data
// S&T Highlights
Scientists take a step forward in the design of future materials with improved performance by analyzing microstructure using AI.
3D-printed nasal swabs
// S&T Highlights
Livermore engineers formed an ad hoc, rapid response team that has tested more than a dozen novel, 3D-printed nasal swab designs to aid in COVID-19 response.
Artist's rendering of a carbon nanotube porin embedded in a lipid bilayer with an anion
// S&T Highlights
Livermore researchers determined how negatively charged ions squeeze through a carbon nanotube 20,000 times smaller than a human hair.
SARS-CoV-2 virus and antibody structure
// S&T Highlights
To help accelerate discovery of therapeutic antibodies or antiviral drugs for SARS-CoV-2, the virus that causes COVID-19, Lawrence Livermore has launched a searchable data portal to share its COVID-19 research with scientists worldwide and the general public.
N95 mask
// S&T Highlights
Livermore researchers are studying ways to safely and rapidly remove viral threats from N95 respirators so they can be reused.
An illustration of the collection of targeted information extracted from manuscripts
// S&T Highlights
A Livermore team developed machine learning tools that extract and structure information from the text and figures of nanomaterials articles.
Simulation of laser interacting with melt pool
// S&T Highlights
Livermore researchers have discovered a strategy for reducing or even eliminating defects in parts built through a common, laser-based metal 3D-printing process.