Study on thermal-hydraulic performance of printed circuit heat exchangers with supercritical methane based on machine learning methods
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DOI: 10.1016/j.energy.2023.128711
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Cited by:
- Choi, Seungyeong & Bang, Minho & Park, Hee Seung & Heo, Jeonghun & Cho, Myung Hwan & Cho, Hyung Hee, 2024. "Machine learning-assisted effective thermal management of rotor-stator systems," Energy, Elsevier, vol. 299(C).
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Keywords
Printed circuit heat exchanger; Supercritical methane; Artificial neural network; Machine learning; One-dimensional simulation;All these keywords.
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