Alireza Mahdavi Nejad

Dr. Alireza Mahdavi Nejad


Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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9 November 2020 in Journal of Materials Science: Materials in Electronics
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Journal Article
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MAMohammad Kazem Anvarifard
Mohammad Kazem Anvarifard
ZRZeinab Ramezani
Zeinab Ramezani
IAIraj Sadegh Amiri
Iraj Sadegh Amiri
Khalil TamersitKhalil Tamersit
Khalil Tamersit
ANAlireza Mahdavi Nejad
Alireza Mahdavi Nejad

6 May 2019 in Journal of Packaging Technology and Research
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Journal Article
Closed access
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ANAlireza Mahdavi Nejad
Alireza Mahdavi Nejad

26 December 2019 in Journal of Energy Resources Technology
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Journal Article
Closed access
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ANAlireza Mahdavi Nejad
Alireza Mahdavi Nejad
GTGretar Tryggvason
Gretar Tryggvason

11 February 2024 in Polymers
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Journal Article
Open access
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SBSaed Beshkoofe
Saed Beshkoofe
MBMajid Baniassadi
Majid Baniassadi
ANAlireza Mahdavi Nejad
Alireza Mahdavi Nejad
ASAzadeh Sheidaei
Azadeh Sheidaei
MBMostafa Baghani
Mostafa Baghani
This research proposes a numerical approach to improve the thermal performance of shape memory polymers (SMPs) while their mechanical properties remain intact. Sixteen different 3D minichannel structures were numerically designed to investigate the impact of embedded water flow in microchannel networks on the thermal response and shape recovery of SMPs. This work employs two approaches, each with different physics: approach A focuses on solid mechanics analysis and, accordingly, thermal analysis in solids without considering the fluid. approach B tackles solid and fluid mechanics analysis and thermal analysis in both solid and fluid subdomains, which inherently calls for fluid–structure coupling in a uniform procedure. Finally, the results of these two approaches are compared to predict the SMP’s thermal and mechanical behavior. The structural designs are then analyzed in terms of their shape recovery speed, recovery ratio, and recovery parameters. The results indicate that isotropic structures thermally outperform their anisotropic counterparts, exhibiting improved thermal characteristics and faster shape recovery. Additionally, it was observed that polymeric structures with a low volume fraction of embedded branches thermally perform efficiently. The findings of this study predict that the geometrical angle between the main branch and sub-branches of SMP favorably impacts the enhancement of thermal characteristics of the structure, accelerating its shape recovery. Approach B accelerates the shape recovery rate in SMPs due to fluid flow and uniform heat transfer within the structures.


9 December 2019 in arXiv
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MSMoein Sarvaghad-Moghaddam
Moein Sarvaghad-Moghaddam
AOAli Asghar Orouji
Ali Asghar Orouji
ZRZeinab Ramezani
Zeinab Ramezani
IAIraj Sadegh Amiri
Iraj Sadegh Amiri
ANAlireza Mahdavi Nejad
Alireza Mahdavi Nejad
Power dissipation is known as the most notable limiting factor in all nano-electronic design techniques including Quantum-dot Cellular Automata (QCA). The familiar reversible computing approach is used as a reasonably reliable solution, mitigating power dissipation. This study presents, a comprehensive multi-objective method for designing R-Fs in emerging QCA technology. The results are investigated in both logical and layout levels, in detail. The results verify that the approach offered in this study has advantage over the most efficient approaches available in the literature by far. This comparison can be made on various parameters ranging from area, complexity (cell amount), delay (clocking zones), and to even logical levels including levels, Control inputs, the number of majority and NOT gates.