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.

Scientists take a step forward in the design of future materials with improved performance by analyzing microstructure using AI.

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.

Livermore researchers determined how negatively charged ions squeeze through a carbon nanotube 20,000 times smaller than a human hair.

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.

Livermore researchers are studying ways to safely and rapidly remove viral threats from N95 respirators so they can be reused.

A Livermore team developed machine learning tools that extract and structure information from the text and figures of nanomaterials articles.

Livermore researchers have discovered a strategy for reducing or even eliminating defects in parts built through a common, laser-based metal 3D-printing process.

A multi-institutional team of researchers led by Lawrence Livermore has developed a smart, breathable fabric that protects the wearer against biological and chemical warfare agents, and could also be used in medical settings.

Livermore researchers have identified an initial set of therapeutic antibody sequences for SARS-CoV-2.