Automated co-design of high-performance thermodynamic cycles via graph-based hierarchical reinforcement learning
arXiv:2604.13133v1 Announce Type: new
Abstract: Thermodynamic cycles are pivotal in determining the efficacy of energy conversion systems. Traditional design methodologies, which rely on expert knowledge or exhaustive enumeration, are inefficient and …