Machine learning based prediction of metal hydrides for hydrogen storage, part II: Prediction of material class A Rahnama, G Zepon, S Sridhar International Journal of Hydrogen Energy 44 (14), 7345-7353, 2019 | 74* | 2019 |
Electropulsed steels RS Qin, A Rahnama, WJ Lu, XF Zhang, B Elliott-Bowman Materials Science and Technology 30 (9), 1040-1044, 2014 | 72 | 2014 |
Effect of Ni alloying on the microstructural evolution and mechanical properties of two duplex light-weight steels during different annealing temperatures: experiment and phase … A Rahnama, H Kotadia, S Sridhar Acta Materialia 132, 627-643, 2017 | 63 | 2017 |
Machine learning based prediction of metal hydrides for hydrogen storage, part I: Prediction of hydrogen weight percent A Rahnama, G Zepon, S Sridhar International Journal of Hydrogen Energy 44 (14), 7337-7344, 2019 | 61 | 2019 |
Electropulse-induced microstructural evolution in a ferritic–pearlitic 0.14% C steel A Rahnama, RS Qin Scripta Materialia 96, 17-20, 2015 | 56 | 2015 |
Frequency control of fully-renewable interconnected microgrid using fuzzy cascade controller with demand response program considering H Shayeghi, A Rahnama, HH Alhelou Energy Reports 7, 6077-6094, 2021 | 39 | 2021 |
Room temperature texturing of austenite/ferrite steel by electropulsing A Rahnama, R Qin Scientific reports 7 (1), 42732, 2017 | 37 | 2017 |
The effect of electropulsing on the interlamellar spacing and mechanical properties of a hot-rolled 0.14% carbon steel A Rahnama, RS Qin Materials Science and Engineering: A 627, 145-152, 2015 | 35 | 2015 |
Performance of dissimilar metal Self-Piercing Riveting (SPR) joint and coating behaviour under corrosive environment HR Kotadia, A Rahnama, IR Sohn, J Kim, S Sridhar Journal of Manufacturing Processes 39, 259-270, 2019 | 31 | 2019 |
Machine learning for predicting occurrence of interphase precipitation in HSLA steels A Rahnama, S Clark, S Sridhar Computational Materials Science 154, 169-177, 2018 | 27 | 2018 |
Nano-mechanical properties of Fe-Mn-Al-C lightweight steels A Rahnama, H Kotadia, S Clark, V Janik, S Sridhar Scientific reports 8 (1), 9065, 2018 | 24 | 2018 |
A phase-field method coupled with CALPHAD for the simulation of ordered κ-carbide precipitates in both disordered γ and α phases in low density steel A Rahnama, R Dashwood, S Sridhar Computational Materials Science 126, 152-159, 2017 | 18 | 2017 |
Quantifying the Pathway and Predicting Spontaneous Emulsification during Material Exchange in a Two Phase Liquid System S Spooner, A Rahnama, JM Warnett, MA Williams, Z Li, S Sridhar Scientific reports 7 (1), 14384, 2017 | 17 | 2017 |
Control of intermetallic nano-particles through annealing in duplex low density steel A Rahnama, S Spooner, S Sridhar Materials Letters 189, 13-16, 2017 | 14 | 2017 |
Multi-area microgrid load-frequency control using combined fractional and integer order master–slave controller considering electric vehicle aggregator effects H Shayeghi, A Rahnama, R Mohajery, N Bizon, AG Mazare, LM Ionescu Electronics 11 (21), 3440, 2022 | 13 | 2022 |
Machine learning-based prediction of a BOS reactor performance from operating parameters A Rahnama, Z Li, S Sridhar Processes 8 (3), 371, 2020 | 13 | 2020 |
Effect of electric current pulses on the microstructure and niobium carbide precipitates in a ferritic-pearlitic steel at an elevated temperature A Rahnama, RS Qin Journal of Materials Research 30 (20), 3049-3055, 2015 | 13 | 2015 |
A cost-technical profit-sharing approach for optimal energy management of a multi-microgrid distribution system A Rahnama, H Shayeghi, A Dejamkhooy, N Bizon Energy 261, 125057, 2022 | 8 | 2022 |
Designing a PD-(1+ PI) controller for LFC of an entirely renewable microgrid using PSO-TVAC H Shayeghi, A Rahnama Int. J.“Techni. Physi. Prob. Eng.”(IJTPE) 12 (45), 19-27, 2020 | 8 | 2020 |
Application of data science tools to determine feature correlation and cluster metal hydrides for hydrogen storage A Rahnama, S Sridhar Materialia 7, 100366, 2019 | 8 | 2019 |