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Farshid Hemmati
Farshid Hemmati
在 ut.ac.ir 的电子邮件经过验证
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Performance analysis of anode-supported solid oxide fuel cells: a machine learning approach
MH Golbabaei, M Saeidi Varnoosfaderani, A Zare, H Salari, F Hemmati, ...
Materials 15 (21), 7760, 2022
52022
Machine learning-guided morphological property prediction of 2D electrospun scaffolds: the effect of polymer chemical composition and processing parameters
MH Golbabaei, MS Varnoosfaderani, F Hemmati, MR Barati, F Pishbin, ...
RSC advances 14 (22), 15178-15199, 2024
2024
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