2026

Alipour Bonab, Shahin ORCID: https://orcid.org/0009-0002-8316-4336, Waite, Thomas and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2026) Artificially intelligent framework for multi-output performance prediction in diverse solid oxide electrolyzer cells for green hydrogen production plants. Journal of Physics: Energy, 8(1), 015006. (doi: 10.1088/2515-7655/ae1e2a)

Alipour Bonab, Shahin ORCID: https://orcid.org/0009-0002-8316-4336, Berg, Frederick, Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038, Colle, Alexander and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2026) AC loss prediction of HTS propulsion motors using convolutional neural network-based surrogate model for system-level modelling of electric aircraft. IEEE Transactions on Applied Superconductivity, (doi: 10.1109/TASC.2026.3665169)

Pinaffo Almeida, Tarik, Alipour Bonab, Shahin ORCID: https://orcid.org/0009-0002-8316-4336 and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2026) Artificial neural networks for explainable thrust prediction in applied-field magnetoplasmadynamic thrusters. CEAS Space Journal, (doi: 10.1007/s12567-026-00705-3) (Early Online Publication)

2025

Alipour Bonab, Shahin ORCID: https://orcid.org/0009-0002-8316-4336, Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038, Jiang, Zhenan and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2025) Physics-constrained deep learning framework for accurate AC loss prediction of high-temperature superconductors: Impact of data scarcity and extrapolation beyond the range of experimental measurements. Superconductor Science and Technology, 38(12), 12LT01. (doi: 10.1088/1361-6668/ae2162)

Saha, Souparna, Alipour Bonab, Shahin ORCID: https://orcid.org/0009-0002-8316-4336 and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2025) Estimation of performance parameters for direct methanol fuel cell with Fe-N-C cathodes using gradient boost models. Journal of Physics: Energy, (doi: 10.1088/2515-7655/ae1e29) (Early Online Publication)

Alipour Bonab, Shahin ORCID: https://orcid.org/0009-0002-8316-4336, Wu, Yahao, Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038 and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2025) Intelligent estimation of critical current density of ReBCO superconductors exposed to irradiations for fusion energy applications: first machine learning study. Superconductor Science and Technology, 38, 09LT01. (doi: 10.1088/1361-6668/ae011e)

Alipour Bonab, Shahin ORCID: https://orcid.org/0009-0002-8316-4336, Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038 and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2025) Physics-informed neural network model for transient thermal analysis of superconductors. Superconductor Science and Technology, 38, 08LT01. (doi: 10.1088/1361-6668/adf3eb)

Pinaffo Almeida, Tarik, Alipour Bonab, Shahin ORCID: https://orcid.org/0009-0002-8316-4336 and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2025) Data-driven thrust prediction in applied-field magnetoplasmadynamic thrusters for space missions using artificial intelligence-based models. Machine Learning: Science and Technology, 6(2), 025050. (doi: 10.1088/2632-2153/addb06)

Alipour Bonab, Shahin ORCID: https://orcid.org/0009-0002-8316-4336, Xing, Yiteng, Bernstein, Pierre, Noudem, Jacques and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2025) Intelligent predictor model for critical current density of MgB2 Superconducting Bulks. Superconductor Science and Technology, 38(5), 055009. (doi: 10.1088/1361-6668/adc8de)

Pinaffo Almeida, Tarik, Alipour Bonab, Shahin ORCID: https://orcid.org/0009-0002-8316-4336 and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2025) Enhancing Thrust Prediction for AF-MPDTs using XGBoost Machine Learning Technique. 21st PEGASUS Student Conference, Prague, Czech Republic, 23-25 Apr 2025.

Alipour Bonab, Shahin ORCID: https://orcid.org/0009-0002-8316-4336, Berg, Frederick, Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038, Colle, Alexandre and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2025) Advanced deep-learning model for temporal-dependent prediction of dynamic behavior of AC losses in superconducting propulsion motors for hydrogen-powered cryo-electric aircraft. Communications Engineering, 4(1), 221. (doi: 10.1038/s44172-025-00554-8) (PMID:41407868) (PMCID:PMC12738581)

Alipour Bonab, Shahin ORCID: https://orcid.org/0009-0002-8316-4336, Sadeghi, Alireza and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2025) Artificial Intelligence-based surrogate model for computation of the electric field of high voltage transmission line ceramic insulator with Corona ring. World Journal of Engineering, 22(3), pp. 458-471. (doi: 10.1108/WJE-11-2023-0478)

2024

Alipour Bonab, Shahin ORCID: https://orcid.org/0009-0002-8316-4336, Waite, Thomas, Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038, Flynn, David ORCID: https://orcid.org/0000-0002-1024-3618 and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2024) Machine learning-powered performance monitoring of proton exchange membrane water electrolyzers for enhancing green hydrogen production as a sustainable fuel for aviation industry. Energy Reports, 12, pp. 2270-2282. (doi: 10.1016/j.egyr.2024.08.028)

Alipour Bonab, Shahin ORCID: https://orcid.org/0009-0002-8316-4336 and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2024) Artificial intelligence-based model to predict the heat transfer coefficient in flow boiling of liquid hydrogen as fuel and cryogenic coolant in future hydrogen-powered cryo-electric aviation. Fuel, 381(A), 133323. (doi: 10.1016/j.fuel.2024.133323)

Alipour Bonab, Shahin ORCID: https://orcid.org/0009-0002-8316-4336 and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2024) Investigation on the heat transfer estimation of subcooled liquid hydrogen for transportation applications using intelligent technique. International Journal of Hydrogen Energy, 84, pp. 468-479. (doi: 10.1016/j.ijhydene.2024.08.257)

Alipour Bonab, Shahin ORCID: https://orcid.org/0009-0002-8316-4336, Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038 and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2024) Enhancing the predictive modeling of n-value surfaces in various high temperature superconducting materials using a feed-forward deep neural network technique. Crystals, 14(7), 619. (doi: 10.3390/cryst14070619)

Alipour Bonab, Shahin ORCID: https://orcid.org/0009-0002-8316-4336, Xing, Yiteng, Russo, Giacomo, Fabbri, Massimo, Morandi, Antonio, Bernstein, Pierre, Noudem, Jacques and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2024) Estimation of magnetic levitation and lateral forces in MgB2 superconducting bulks with various dimensional sizes using artificial intelligence techniques. Superconductor Science and Technology, (doi: 10.1088/1361-6668/ad4e77) (Early Online Publication)

Alipour Bonab, Shahin ORCID: https://orcid.org/0009-0002-8316-4336, Russo, Giacomo, Morandi, Antonio and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2024) A comprehensive machine learning-based investigation for the index-value prediction of 2G HTS coated conductor tapes. Machine Learning: Science and Technology, (doi: 10.1088/2632-2153/ad45b1) (Early Online Publication)

Sadeghi, Alireza, Alipour Bonab, Shahin ORCID: https://orcid.org/0009-0002-8316-4336, Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038 and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2024) Intelligent estimation of critical current degradation in HTS tapes under repetitive overcurrent cycling for cryo-electric transportation applications. Materials Today Physics, 42, 101365. (doi: 10.1016/j.mtphys.2024.101365)

Sadeghi, Alireza, Alipour Bonab, Shahin ORCID: https://orcid.org/0009-0002-8316-4336, Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038 and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2024) Short circuit analysis of a fault-tolerant current-limiting high temperature superconducting transformer in a power system in presence of distributed generations. Superconductivity, 9, 100085. (doi: 10.1016/j.supcon.2024.100085)

2023

Alipour Bonab, Shahin ORCID: https://orcid.org/0009-0002-8316-4336, Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038 and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2023) 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. Applied Sciences, 13(20), 11180. (doi: 10.3390/app132011180)

Articles

Alipour Bonab, Shahin ORCID: https://orcid.org/0009-0002-8316-4336, Waite, Thomas and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2026) Artificially intelligent framework for multi-output performance prediction in diverse solid oxide electrolyzer cells for green hydrogen production plants. Journal of Physics: Energy, 8(1), 015006. (doi: 10.1088/2515-7655/ae1e2a)

Alipour Bonab, Shahin ORCID: https://orcid.org/0009-0002-8316-4336, Berg, Frederick, Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038, Colle, Alexander and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2026) AC loss prediction of HTS propulsion motors using convolutional neural network-based surrogate model for system-level modelling of electric aircraft. IEEE Transactions on Applied Superconductivity, (doi: 10.1109/TASC.2026.3665169)

Pinaffo Almeida, Tarik, Alipour Bonab, Shahin ORCID: https://orcid.org/0009-0002-8316-4336 and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2026) Artificial neural networks for explainable thrust prediction in applied-field magnetoplasmadynamic thrusters. CEAS Space Journal, (doi: 10.1007/s12567-026-00705-3) (Early Online Publication)

Alipour Bonab, Shahin ORCID: https://orcid.org/0009-0002-8316-4336, Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038, Jiang, Zhenan and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2025) Physics-constrained deep learning framework for accurate AC loss prediction of high-temperature superconductors: Impact of data scarcity and extrapolation beyond the range of experimental measurements. Superconductor Science and Technology, 38(12), 12LT01. (doi: 10.1088/1361-6668/ae2162)

Saha, Souparna, Alipour Bonab, Shahin ORCID: https://orcid.org/0009-0002-8316-4336 and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2025) Estimation of performance parameters for direct methanol fuel cell with Fe-N-C cathodes using gradient boost models. Journal of Physics: Energy, (doi: 10.1088/2515-7655/ae1e29) (Early Online Publication)

Alipour Bonab, Shahin ORCID: https://orcid.org/0009-0002-8316-4336, Wu, Yahao, Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038 and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2025) Intelligent estimation of critical current density of ReBCO superconductors exposed to irradiations for fusion energy applications: first machine learning study. Superconductor Science and Technology, 38, 09LT01. (doi: 10.1088/1361-6668/ae011e)

Alipour Bonab, Shahin ORCID: https://orcid.org/0009-0002-8316-4336, Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038 and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2025) Physics-informed neural network model for transient thermal analysis of superconductors. Superconductor Science and Technology, 38, 08LT01. (doi: 10.1088/1361-6668/adf3eb)

Pinaffo Almeida, Tarik, Alipour Bonab, Shahin ORCID: https://orcid.org/0009-0002-8316-4336 and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2025) Data-driven thrust prediction in applied-field magnetoplasmadynamic thrusters for space missions using artificial intelligence-based models. Machine Learning: Science and Technology, 6(2), 025050. (doi: 10.1088/2632-2153/addb06)

Alipour Bonab, Shahin ORCID: https://orcid.org/0009-0002-8316-4336, Xing, Yiteng, Bernstein, Pierre, Noudem, Jacques and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2025) Intelligent predictor model for critical current density of MgB2 Superconducting Bulks. Superconductor Science and Technology, 38(5), 055009. (doi: 10.1088/1361-6668/adc8de)

Alipour Bonab, Shahin ORCID: https://orcid.org/0009-0002-8316-4336, Berg, Frederick, Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038, Colle, Alexandre and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2025) Advanced deep-learning model for temporal-dependent prediction of dynamic behavior of AC losses in superconducting propulsion motors for hydrogen-powered cryo-electric aircraft. Communications Engineering, 4(1), 221. (doi: 10.1038/s44172-025-00554-8) (PMID:41407868) (PMCID:PMC12738581)

Alipour Bonab, Shahin ORCID: https://orcid.org/0009-0002-8316-4336, Sadeghi, Alireza and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2025) Artificial Intelligence-based surrogate model for computation of the electric field of high voltage transmission line ceramic insulator with Corona ring. World Journal of Engineering, 22(3), pp. 458-471. (doi: 10.1108/WJE-11-2023-0478)

Alipour Bonab, Shahin ORCID: https://orcid.org/0009-0002-8316-4336, Waite, Thomas, Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038, Flynn, David ORCID: https://orcid.org/0000-0002-1024-3618 and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2024) Machine learning-powered performance monitoring of proton exchange membrane water electrolyzers for enhancing green hydrogen production as a sustainable fuel for aviation industry. Energy Reports, 12, pp. 2270-2282. (doi: 10.1016/j.egyr.2024.08.028)

Alipour Bonab, Shahin ORCID: https://orcid.org/0009-0002-8316-4336 and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2024) Artificial intelligence-based model to predict the heat transfer coefficient in flow boiling of liquid hydrogen as fuel and cryogenic coolant in future hydrogen-powered cryo-electric aviation. Fuel, 381(A), 133323. (doi: 10.1016/j.fuel.2024.133323)

Alipour Bonab, Shahin ORCID: https://orcid.org/0009-0002-8316-4336 and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2024) Investigation on the heat transfer estimation of subcooled liquid hydrogen for transportation applications using intelligent technique. International Journal of Hydrogen Energy, 84, pp. 468-479. (doi: 10.1016/j.ijhydene.2024.08.257)

Alipour Bonab, Shahin ORCID: https://orcid.org/0009-0002-8316-4336, Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038 and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2024) Enhancing the predictive modeling of n-value surfaces in various high temperature superconducting materials using a feed-forward deep neural network technique. Crystals, 14(7), 619. (doi: 10.3390/cryst14070619)

Alipour Bonab, Shahin ORCID: https://orcid.org/0009-0002-8316-4336, Xing, Yiteng, Russo, Giacomo, Fabbri, Massimo, Morandi, Antonio, Bernstein, Pierre, Noudem, Jacques and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2024) Estimation of magnetic levitation and lateral forces in MgB2 superconducting bulks with various dimensional sizes using artificial intelligence techniques. Superconductor Science and Technology, (doi: 10.1088/1361-6668/ad4e77) (Early Online Publication)

Alipour Bonab, Shahin ORCID: https://orcid.org/0009-0002-8316-4336, Russo, Giacomo, Morandi, Antonio and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2024) A comprehensive machine learning-based investigation for the index-value prediction of 2G HTS coated conductor tapes. Machine Learning: Science and Technology, (doi: 10.1088/2632-2153/ad45b1) (Early Online Publication)

Sadeghi, Alireza, Alipour Bonab, Shahin ORCID: https://orcid.org/0009-0002-8316-4336, Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038 and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2024) Intelligent estimation of critical current degradation in HTS tapes under repetitive overcurrent cycling for cryo-electric transportation applications. Materials Today Physics, 42, 101365. (doi: 10.1016/j.mtphys.2024.101365)

Sadeghi, Alireza, Alipour Bonab, Shahin ORCID: https://orcid.org/0009-0002-8316-4336, Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038 and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2024) Short circuit analysis of a fault-tolerant current-limiting high temperature superconducting transformer in a power system in presence of distributed generations. Superconductivity, 9, 100085. (doi: 10.1016/j.supcon.2024.100085)

Alipour Bonab, Shahin ORCID: https://orcid.org/0009-0002-8316-4336, Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038 and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2023) 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. Applied Sciences, 13(20), 11180. (doi: 10.3390/app132011180)

Conference or Workshop Item

Pinaffo Almeida, Tarik, Alipour Bonab, Shahin ORCID: https://orcid.org/0009-0002-8316-4336 and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2025) Enhancing Thrust Prediction for AF-MPDTs using XGBoost Machine Learning Technique. 21st PEGASUS Student Conference, Prague, Czech Republic, 23-25 Apr 2025.