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Alireza Rahnama
Alireza Rahnama
Imperial College London, University of Warwick, Avanade, Infosys, ai-garismo
Verified email at ai-garismo.com - Homepage
Title
Cited by
Cited by
Year
Electropulsed steels
RS Qin, A Rahnama, WJ Lu, XF Zhang, B Elliott-Bowman
Materials Science and Technology 30 (9), 1040-1044, 2014
722014
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
70*2019
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
612017
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
582019
Electropulse-induced microstructural evolution in a ferritic–pearlitic 0.14% C steel
A Rahnama, RS Qin
Scripta Materialia 96, 17-20, 2015
562015
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
372021
Room temperature texturing of austenite/ferrite steel by electropulsing
A Rahnama, R Qin
Scientific reports 7 (1), 42732, 2017
372017
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
332015
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
312019
Machine learning for predicting occurrence of interphase precipitation in HSLA steels
A Rahnama, S Clark, S Sridhar
Computational Materials Science 154, 169-177, 2018
272018
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
232018
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
182017
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
172017
Control of intermetallic nano-particles through annealing in duplex low density steel
A Rahnama, S Spooner, S Sridhar
Materials Letters 189, 13-16, 2017
142017
Machine learning-based prediction of a BOS reactor performance from operating parameters
A Rahnama, Z Li, S Sridhar
Processes 8 (3), 371, 2020
132020
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
122022
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
122015
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
82022
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
82020
Application of data science tools to determine feature correlation and cluster metal hydrides for hydrogen storage
A Rahnama, S Sridhar
Materialia 7, 100366, 2019
72019
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