2 papers
cs.LG2026
A generative machine learning model for designing metal hydrides applied to hydrogen storage
Xiyuan Liu, Christian Hacker, Shengnian Wang +1
Developing new metal hydrides is a critical step toward efficient hydrogen storage in carbon-neutral energy systems. However, existing materials databases, such as the Materials Pr…
cs.DC2025
Beyond Exascale: Dataflow Domain Translation on a Cerebras Cluster
Tomas Oppelstrup, Nicholas Giamblanco, Delyan Z. Kalchev +5
Simulation of physical systems is essential across scientific and engineering domains. Commonly used domain decomposition methods are unable to simultaneously deliver both high sim…