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.

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

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. 

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

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.

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.

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

In a study published in the Journal of Microbiological Methods, LLNL researchers combined and refined two established techniques into a new method to screen chemicals for their ability to kill filamentous fungi.

In a new study, published in Analytical Chemistry, LLNL researchers develop a fast and simple approach to screen proteins and their binding properties. 

A more than month-long field experiment by an LLNL seismologist demonstrates that a new technology could offer a major breakthrough in seismology.