A new review by Livermore scientists and collaborators, appearing in Nature Reviews Microbiology, describes how living and dead microorganisms strongly influence terrestrial biogeochemistry by forming and decomposing soil organic matter

An international team of scientists has found new biomarkers that can be used for diagnostic purposes and potentially as predictive tools of the risks associated with deep-space flight.

Livermore researchers report Volumetric additive manufacturing (VAM) of thiol–ene-based SMP photoresins to produce structures with nearly full shape recovery, including self-standing tripod and actuating three-arm gripper structures.

Livermore scientists have provided input on Microsoft’s pathway to become carbon-negative by 2030.

Livermore scientists used molecular dynamics simulations to describe the dynamical behavior of dissolved metal ions and water, a key to better understanding the process of corrosion.

A prototype, field-deployable device offers postdetonation debris analysis following a nuclear event.

A high-explosive experiment at the National Ignition Facility expands understanding of material characteristics.

New approaches to artificial intelligence improve machine-learning predictions in real-world applications.

A Livermore report outlines a strategy to reduce California’s carbon emissions to net zero by 2045.

A Livermore team has developed a comprehensive dynamic model of COVID-19 disease progression in hospitalized patients, finding that risk factors for complications from the disease are dependent on the patient’s disease state.