NEWS
![artist's rendering of lasers hitting the target](/sites/default/files/styles/front_page_card/public/2022-12/nif-hohlraum.png?itok=qL0ihu9o)
Supercomputing’s critical role in the fusion ignition breakthrough
High performance computing was key to the December 5 breakthrough at the National Ignition Facility.
![Marty Marinak in front of Sierra supercomputer](/sites/default/files/styles/front_page_card/public/2022-12/62459%20_Sierra%20portraits%20Coders_%20comp_Marty%20Marinak%2C%20marinak1_%20%200014.jpg?itok=0z-fg0nM)
Due credit: Sierra, Jade and HPC’s role in Livermore’s fusion ignition breakthrough
Two supercomputers powered the research of hundreds of scientists at Livermore’s NNSA National Ignition Facility, which recently achieved ignition.
![stylized drawing of atoms, a computer circuit, and labels of temperature readings of 75 degrees, -53 degrees, and -21 degrees Celsius](/sites/default/files/styles/front_page_card/public/2022-11/JCIM-paper-polymer.png?itok=ISnrMZQ7)
ML model instantly predicts polymer properties
LLNL researchers have developed a novel machine learning (ML) model that can predict 10 distinct polymer properties more accurately than was possible with previous ML models.