Best Use of HPC in Energy
Readers’ Choice Awards
A first-year graduate student in chemistry at UC San Diego, working with an international team of researchers, used the Comet system at the San Diego Supercomputer Center to explore methane storage applications. They validated the use of computational chemistry as a tool to design new porous carbon materials for methane storage applications – a key bridging technology to reduced-carbon or carbon-free chemical fuels for vehicles.
Editors’ Choice Awards
Lawrence Livermore National Laboratory researchers applied cognitive simulation, an approach that combines HPC and machine learning, to 100 million inertial confinement fusion (ICF) simulations. Making use of large-scale HPC machines, including the lab’s IBM-built Lassen system and a deep learning tool called Merlin, the work allowed scientists to enhance the predictive models of ICF implosions and improve the way experiments are performed at the National Ignition Facility and other laser facilities.