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Four LLNL technologies received 2025 R&D 100 awards, including the FIDDLE diagnostic. Peter Nyholm, Andrew Sharp, Robin Benedetti and Brandon Morioka (from left) make adjustments in the FIDDLE diagnostic, which can produce multiple images of phase transitions in materials over a few nanoseconds.
// Recognition

LLNL scientists and engineers earn four awards among the top 100 inventions worldwide.

Exemplary Team Science graphic with general awards coin.
// Director's Awards
Two teams honored with 2025 Director’s Exemplary Team Science Award. This award honors teams that demonstrate outstanding scientific collaboration at LLNL and throughout the broader national laboratory complex.
Graphic of 2025 Director’s Institutional Operational Excellence Award coin.
// Director's Awards
Three teams win 2025 Director’s Institutional Operational Excellence Award. This annual award honors operational work that advances institutional goals and has a substantial, positive impact on the Laboratory’s mission.
LLNL researchers created molecular dynamics simulations to explain why either graphite or diamond forms when carbon crystallizes.
// S&T Highlights

LLNL researchers create molecular dynamics simulations to explain what material forms when carbon crystallizes.

Twelve are named to LLNL’s 11th annual Early and Mid-Career Recognition Program.
// Director's Awards
Twelve have been named to the Early and Mid-Career Recognition (EMCR) Program which recognizes scientific and technical accomplishments, leadership, and future promise demonstrated by LLNL scientists and engineers early in their careers.
Photo of Excellence in Publication Award coin.
// Director's Awards
Eighteen publications win 2025 Director’s Excellence in Publication Awards. This award rewards outstanding scientific and technical publications by LLNL employees.
Photo of S&T Award coin.
// Director's Awards
Five teams win 2025 Director’s Science and Technology Awards for accomplishments that have made a significant impact on the Laboratory's mission and have been widely acknowledged as a significant advancement.
With the arrival of the exascale supercomputer El Capitan, Lawrence Livermore National Laboratory researchers are entering a new era of scientific simulation — one in which they can model extreme physical events with unprecedented resolution, realism and speed.
// S&T Highlights

LLNL researchers model extreme physical events with unprecedented resolution, realism and speed. 

LLNL researchers (from left): Jan Render, Quinn Shollenberger and Greg Brennecka in the laboratory where samples retrieved from the asteroid Bennu were prepared and analyzed.
// S&T Highlights

LLNL researchers analyzed asteroid material to show that its elements reflect the early composition of the solar system. 

In a paper published in Science, Lawrence Livermore National Laboratory researchers detail how they used physics-informed deep learning and a cognitive simulation framework to forecast the success of the historic Dec. 5, 2022 fusion ignition shot, predicting a greater than 70% probability that it would exceed the energy breakeven point — producing more energy from the fusion reaction than the laser energy used to drive it.
// S&T Highlights

LLNL researchers employed an AI-driven model to predict fusion ignition days ahead of the historic 2022 shot.