Graph-based hierarchical RL with a surrogate model discovers 18 novel heat pump and 21 novel heat engine cycles with performance gains of 4.6% and 133.3% over classical designs.
From 1 to N: A computer-aided case study of thermodynamic cycle construction based on thermodynamic process combination
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Automated co-design of high-performance thermodynamic cycles via graph-based hierarchical reinforcement learning
Graph-based hierarchical RL with a surrogate model discovers 18 novel heat pump and 21 novel heat engine cycles with performance gains of 4.6% and 133.3% over classical designs.