Computational Sciences/Simulation
Our research explores a number of different scientific simulation fields, most of which have particular significance to LLNL programs (e.g., high-energy-density physics). Other scientific simulation work showcases the Lab’s high performance computing capabilities in collaborative efforts with scientists at other institutions. View content related to Computational Sciences/Simulation.
AI Identifies Change in Microstructure in Aging Materials
Lab Devises Plan to Reduce Defects in 3D Metal Printing
Video: Incorporation of Machine Learning into Scientific Simulations at LLNL
LLNL’s New ML Platform Generates Novel COVID-19 Antibody Sequences for Experimental Testing
Upgrades for LLNL Supercomputer from AMD, Penguin Computing Aid COVID-19 Research
New Partnership to Unleash U.S. Supercomputing Resources in the Fight against COVID-19
HPC4Energy Innovation Program Issues Special Solicitation for American Manufacturers
Alyson Fox Applies Math to HPC and National Security Challenges
Alyson Fox is a math geek. She has three degrees in the subject—including a Ph.D. in Applied Mathematics from the University of Colorado at Boulder—and her passion for solving complex challenges drives her work at LLNL’s Center for Applied Scientific Computing (CASC).
GOLLNLP: Improving Efficiency and Robustness of the U.S. Electrical Power Grid using HPC
In response to a Department of Energy grid optimization challenge, the LLNL-led gollnlp team is developing the mathematical, computational, and software components needed to solve problems of the real-world power grid.
Pages
