June 17, 2020
LLNL researchers are integrating technologies such as the Sierra supercomputer (left) and NIF (right) to understand complex problems like fusion in energy and the aging effects in nuclear weapons. Data from NIF experiments (inset, right) and simulation (inset, left) are being combined with deep learning methods to improve areas important to national security and our future energy sector. Illustration by Tanya Quijalvo/LLNL.
(Download Image)DL-based surrogate models outperform simulators and could hasten scientific discoveries
Jeremy Thomas/LLNL
Surrogate models supported by neural networks can perform as well, and in some ways better, than computationally expensive simulators and could lead to new insights in complicated physics problems such as inertial confinement fusion (ICF), LLNL scientists reported. Read more at LLNL News.
