| Machine learning-based efficient multi-layered precooler design approach for supercritical CO2 cycle M Saeed, MI Radaideh, AS Berrouk, K Alawadhi Energy Conversion and Management: X 11, 100104, 2021 | 31 | 2021 |
| Efficient analysis of parametric sensitivity and uncertainty of fuel cell models with application to SOFC MI Radaideh, MI Radaideh International Journal of Energy Research 44 (4), 2517-2534, 2020 | 19 | 2020 |
| Design optimization under uncertainty of hybrid fuel cell energy systems for power generation and cooling purposes MI Radaideh, MI Radaideh, T Kozlowski International Journal of Hydrogen Energy 45 (3), 2224-2243, 2020 | 19 | 2020 |
| Investigation of a New Hybrid Fuel Cell-Thermoelectric Generator-Absorption Chiller System for Combined Power and Cooling S Kiwan, M Al-Nimr, MI Radaideh International Journal of Refrigeration 113 (2020), 2020 | 18 | 2020 |
| Application of stochastic and deterministic techniques for uncertainty quantification and sensitivity analysis of energy systems MI Radaideh, MI Radaideh arXiv preprint arXiv:1901.05566, 2019 | 10 | 2019 |
| Sentiment analysis of the United States public support of nuclear power on social media using large language models OH Kwon, K Vu, N Bhargava, MI Radaideh, J Cooper, V Joynt, ... Renewable and Sustainable Energy Reviews 200, 114570, 2024 | 1 | 2024 |
| OME2− 4/air mixtures: The structure and propagation mechanism of their laminar premixed flames MI Radaideh, DM Manias, DC Kyritsis, DA Goussis Fuel 363, 131004, 2024 | 1 | 2024 |
| Driving mechanisms of high-cetane number, synthetic fuel autoignition: The case of OME2− 4 MI Radaideh, DC Kyritsis, DA Goussis Journal of Cleaner Production 432, 139875, 2023 | 1 | 2023 |
| Characteristic time scale as optimal input in Machine Learning algorithms: Homogeneous autoignition MI Radaideh, S Rigopoulos, DA Goussis Energy and AI 14, 100273, 2023 | 1 | 2023 |
| ϕ-Sensitivity Analysis Using Explosive Dynamics MI Radaideh, DM Manias, DA Goussis | | 2021 |
Majdi I. RadaidehUniversity of Michigan; Oak Ridge National Laboratory在 umich.edu 的电子邮件经过验证
