Energy
 2024
DOI: 10.1016/j.energy.2024.133113
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A design method based on neural network to predict thermoacoustic Stirling engine parameters: Experimental and theoretical assessment

Shahryar Zare,
Fathollah Pourfayaz,
A.R. Tavakolpour-Saleh
et al.
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