2 papers
cs.LG2026
Automated co-design of high-performance thermodynamic cycles via graph-based hierarchical reinforcement learning
Wenqing Li, Xu Feng, Peixue Jiang +1
Thermodynamic cycles are pivotal in determining the efficacy of energy conversion systems. Traditional design methodologies, which rely on expert knowledge or exhaustive enumeratio…
physics.flu-dyn2024
Order-lifted data inversion/retrieval method of neighbor cells to implement general high-order schemes in unstructured-mesh-based finite-volume solution framework
Hao Guo, Peixue Jiang, Xiaofeng Ma +2
This study introduces an order-lifted inversion/retrieval method for implementing high-order schemes within the framework of an unstructured-mesh-based finite-volume method. This m…