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transfer learning to transpose the recurrent neural network (RNN) model available for supercritical CO2 power cycles to other cycles. Since thermodynamic conditions vary greatly depending on the fluid and
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working fluid. The proposed expander system consists of: - Membrane-based expansion chambers, ensuring efficient expansion without leakage risks; - A linear alternator, directly converting the reciprocating
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