Data Party THU

May 2, 2026 · Artificial Intelligence

Training an 11.5 B‑parameter Universal Interatomic Potential in Hours on Exascale Supercomputers

A Chinese Academy of Sciences team introduced the MatRIS‑MoE model and the Janus training framework, enabling a 11.5 billion‑parameter universal machine‑learning interatomic potential to be trained on two exascale systems at 1.2 EFLOPS, compressing weeks‑long training into a few hours.