| Intelligent estimation of critical current degradation in HTS tapes under repetitive overcurrent cycling for cryo-electric transportation applications A Sadeghi, SA Bonab, W Song, M Yazdani-Asrami Materials Today Physics 42, 101365, 2024 | 6 | 2024 |
| A new intelligent estimation method based on the cascade-forward neural network for the electric and magnetic fields in the vicinity of the high voltage overhead transmission lines S Alipour Bonab, W Song, M Yazdani-Asrami Applied Sciences 13 (20), 11180, 2023 | 6 | 2023 |
| A comprehensive machine learning-based investigation for the index-value prediction of 2G HTS coated conductor tapes SA Bonab, G Russo, A Morandi, M Yazdani-Asrami Machine Learning: Science and Technology 5 (2), 025040, 2024 | 4 | 2024 |
| Estimation of magnetic levitation and lateral forces in MgB2 superconducting bulks with various dimensional sizes using artificial intelligence techniques SA Bonab, Y Xing, G Russo, M Fabbri, A Morandi, P Bernstein, J Noudem, ... Superconductor Science and Technology 37 (7), 075008, 2024 | 3 | 2024 |
| Machine learning-powered performance monitoring of proton exchange membrane water electrolyzers for enhancing green hydrogen production as a sustainable fuel for aviation industry SA Bonab, T Waite, W Song, D Flynn, M Yazdani-Asrami Energy Reports 12, 2270-2282, 2024 | 2 | 2024 |
| Machine learning-based model for the intelligent estimation of critical heat flux in nanofluids SA Bonab, M Yazdani-Asrami Nano Express 5 (2), 025012, 2024 | 2 | 2024 |
| Artificial intelligence-based surrogate model for computation of the electric field of high voltage transmission line ceramic insulator with corona ring S Alipour Bonab, A Sadeghi, M Yazdani-Asrami World Journal of Engineering, 2024 | 2 | 2024 |
| Short circuit analysis of a fault-tolerant current-limiting high temperature superconducting transformer in a power system in presence of distributed generations A Sadeghi, SA Bonab, W Song, M Yazdani-Asrami Superconductivity 9, 100085, 2024 | 2 | 2024 |
| Investigation on the heat transfer estimation of subcooled liquid hydrogen for transportation applications using intelligent technique SA Bonab, M Yazdani-Asrami International Journal of Hydrogen Energy 84, 468-479, 2024 | | 2024 |
| Enhancing the Predictive Modeling of n-Value Surfaces in Various High Temperature Superconducting Materials Using a Feed-Forward Deep Neural Network Technique S Alipour Bonab, W Song, M Yazdani-Asrami Crystals 14 (7), 619, 2024 | | 2024 |
Mohammad Yazdani-AsramiLecturer in electrically powered aircraft, University of Glasgow, UK在 glasgow.ac.uk 的电子邮件经过验证
