Controlled fusion energy is deemed pivotal for the advancement of human civilization. In this
study, we introduce $\textbf {Fusion-LLM} $, a novel integration of Large Language Models
(LLMs) with classical reservoir computing paradigms tailored to address challenges in
Inertial Confinement Fusion ($\texttt {ICF} $). Our approach offers several key contributions:
Firstly, we propose the $\textit {LLM-anchored Reservoir} $, augmented with a fusion-
specific prompt, enabling accurate forecasting of hot electron dynamics during implosion …