M
Meisam Rahmani
Researcher at Universiti Teknologi Malaysia
Publications - 64
Citations - 562
Meisam Rahmani is an academic researcher from Universiti Teknologi Malaysia. The author has contributed to research in topics: Graphene & Bilayer graphene. The author has an hindex of 12, co-authored 56 publications receiving 461 citations. Previous affiliations of Meisam Rahmani include Islamic Azad University & Amirkabir University of Technology.
Papers
More filters
Journal ArticleDOI
Analytical modeling of glucose biosensors based on carbon nanotubes
Ali Hosseingholi Pourasl,Mohammad Taghi Ahmadi,Mohammad Taghi Ahmadi,Meisam Rahmani,Huei Chaeng Chin,Cheng Siong Lim,Razali Ismail,Michael Loong Peng Tan +7 more
TL;DR: Simulated data demonstrate that the analytical model can be employed with an electrochemical glucose sensor to predict the behavior of the sensing mechanism in biosensors.
Journal ArticleDOI
Analytical modelling of monolayer graphene-based ion-sensitive FET to pH changes.
Mohammad Javad Kiani,Mohammad Javad Kiani,Mohammad Taghi Ahmadi,Hediyeh Karimi Feiz Abadi,Meisam Rahmani,Amin Hashim,Fauzan Khairi Che Harun +6 more
TL;DR: Electrical detection model of each pH value is suggested by conductance modelling of monolayer graphene, Hydrogen ion (H+) concentration as a function of carrier concentration is proposed, and the control parameter is defined based on the electro-active ions absorbed by the surface of the graphene with different pH values.
Journal ArticleDOI
Analytical modeling of trilayer graphene nanoribbon Schottky-barrier FET for high-speed switching applications
Meisam Rahmani,Mohammad Taghi Ahmadi,Mohammad Taghi Ahmadi,Hediyeh Karimi Feiz Abadi,Mehdi Saeidmanesh,Elnaz Akbari,Razali Ismail +6 more
TL;DR: The suggested model can be used as a high-speed switch where the value of subthreshold slope is small and thus leads to less power consumption and meets the International Technology Roadmap for Semiconductors near-term guidelines.
Journal ArticleDOI
Analytical modeling of graphene-based DNA sensor
Journal ArticleDOI
Bilayer graphene application on NO 2 sensor modelling
Elnaz Akbari,Rubiyah Yusof,M. T. Ahmadi,Aria Enzevaee,Mohammad Javad Kiani,Hediyeh Karimi,Meisam Rahmani +6 more
TL;DR: In this paper, the field effect transistor-based structure has been chosen to serve as the platform and bilayer graphene density of state variation effect by NO2 injection has been discussed.