Insights into modelling and evaluation of thermodynamic and transport properties of refrigerants using machine-learning methods
- Abolfazl Sajadi Noushabadi
- , Ebrahim Nemati Lay*
- , Amir Dashti
- , Amir H. Mohammadi
- , Abdoulmohammad Gholamzadeh Chofreh
- , Feybi Ariani Goni
- , Jiří Jaromír Klemeš
*Corresponding author for this work
- University of Kashan
- University of Calgary
- Institut de Recherche en Génie Chimique et Pétrolier (IRGCP)
- University of KwaZulu-Natal
- Sustainable Process Integration Laboratory – SPIL
- Brno University of Technology
Research output: Contribution to journal › Article › peer-review
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