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1,705 results on '"Mohammadi, Mohsen"'

1. Effect of Al- and Ga-doping on the adsorption of H$_{2}$SiCl$_{2}$ onto the outer surface of boron nitride nanotube: a DFT study

Author

Mohammadi, Mohsen Doust, Abdullah, Hewa Y., Biskos, George, and Bhowmick, Somnath

Subjects
Boron nitride nanotube, Dichlorosilane, $\mathrm{H}_{2}\mathrm{SiCl}_{2}$, Natural bond orbital, NCI, Biochemistry, QD415-436, Physical and theoretical chemistry, QD450-801, Mathematics, QA1-939
Abstract

There is a compelling reason to design cost-effective sensors to detect and measure harmful molecules such as dichlorosilane ($\mathrm{H}_{2}\mathrm{SiCl}_{2}$) in the air. In this work, density functional theory (DFT) has been used to study the nature of the intermolecular interactions between the $\mathrm{H}_{2}\mathrm{SiCl}_{2}$ gas molecule with a single-walled pristine, Al-doped, and Ga-doped boron nitride nanotubes (BNNT, BNAlNT, and BNGaNT, respectively) to investigate their potential in gas-sensing applications. Full-dimensional geometry optimization and adsorption energies were calculated with four functionals: PBE0, M06-2X, ${\omega }$B97XD, and B3LYP-D3 with a 6-311G(d) basis set. We find that the B, Al, or Ga atoms provide the most favorable sites for adsorption of the $\mathrm{H}_{2}\mathrm{SiCl}_{2}$ molecule. The adsorbate is more tightly bound to the surface of the doped rather than of the pristine BNNT nanotubes, demonstrating a larger energy gain due to adsorption. This is due to the fact that $\mathrm{H}_{2}\mathrm{SiCl}_{2}$ interacts with pristine BNNT through weak Van der Waals forces but seemingly has stronger ionic interactions with the doped variants. In general, introducing impurities can improve the selectivity and reactivity of the BNNT toward $\mathrm{H}_{2}\mathrm{SiCl}_{2}$. Among all of the absorbents, we find that BNGaNT exhibits the highest affinity toward $\mathrm{H}_{2}\mathrm{SiCl}_{2}$, and therefore holds a higher potential compared to the rest of the nanotubes investigated here for designing materials for dichlorosilane sensors.

Published
2021
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20. Deep Learning and Crystal Plasticity: A Preconditioning Approach for Accurate Orientation Evolution Prediction

Author

Saidi, Peyman, Pirgazi, Hadi, Sanjari, Mehdi, Tamimi, Saeed, Mohammadi, Mohsen, Beland, Laurent K., Daymond, Mark R., and Tamblyn, Isaac

Subjects
Condensed Matter - Materials Science
Abstract

Efficient and precise prediction of plasticity by data-driven models relies on appropriate data preparation and a well-designed model. Here we introduce an unsupervised machine learning-based data preparation method to maximize the trainability of crystal orientation evolution data during deformation. For Taylor model crystal plasticity data, the preconditioning procedure improves the test score of an artificial neural network from 0.831 to 0.999, while decreasing the training iterations by an order of magnitude. The efficacy of the approach was further improved with a recurrent neural network. Electron backscattered (EBSD) lab measurements of crystal rotation during rolling were compared with the results of the surrogate model, and despite error introduced by Taylor model simplifying assumptions, very reasonable agreement between the surrogate model and experiment was observed. Our method is foundational for further data-driven studies, enabling the efficient and precise prediction of texture evolution from experimental and simulated crystal plasticity results., Comment: 15 pages, 6 figures

Published
2021
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28. Explaining StyleGAN Synthesized Swimmer Images in Low-Dimensional Space

Author

Mansouri Yarahmadi, Ashkan, Breuß, Michael, Khan Mohammadi, Mohsen, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Tsapatsoulis, Nicolas, editor, Lanitis, Andreas, editor, Pattichis, Marios, editor, Pattichis, Constantinos, editor, Kyrkou, Christos, editor, Kyriacou, Efthyvoulos, editor, Theodosiou, Zenonas, editor, and Panayides, Andreas, editor

Published
2023
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39. Intelligent GPS Spoofing Attack Detection in Power Grids

Author

Sabouri, Mohammad, Siamak, Sara, Dehghani, Maryam, Mohammadi, Mohsen, and Asemani, Mohammad Hassan

Subjects
Electrical Engineering and Systems Science - Systems and Control, Computer Science - Artificial Intelligence, Computer Science - Cryptography and Security, Computer Science - Machine Learning
Abstract

The GPS is vulnerable to GPS spoofing attack (GSA), which leads to disorder in time and position results of the GPS receiver. In power grids, phasor measurement units (PMUs) use GPS to build time-tagged measurements, so they are susceptible to this attack. As a result of this attack, sampling time and phase angle of the PMU measurements change. In this paper, a neural network GPS spoofing detection (NNGSD) with employing PMU data from the dynamic power system is presented to detect GSAs. Numerical results in different conditions show the real-time performance of the proposed detection method.

Published
2020

41. Solidification Characteristics of Laser-Powder Bed Fused AlSi10Mg: Role of Building Direction

Author

Azizi, Hossein, Ebrahimi, Alireza, Ofori-Opoku, Nana, Greenwood, Michael, Provatas, Nikolas, and Mohammadi, Mohsen

Subjects
Condensed Matter - Materials Science, Physics - Applied Physics, Physics - Computational Physics
Abstract

In this work, the effect of building direction on the microstructure evolution of laser-powder bed fusion (LPBF) processed AlSi10Mg alloy was investigated. The building direction, as shown in experimentally fabricated parts, can influence the solidification behavior and promote morphological transitions in cellular dendritic microstructures. We develop a thermal model to systemically address the impact of laser processing conditions, and building direction on the thermal characteristics of the molten pool during laser processing of AlSi10Mg alloy. We then employ a multi-order parameter phase field model to study the microstructure evolution of LPBF-AlSi10Mg in the dilute limit, using the underlying thermal conditions for horizontal and vertical building directions as input. The phase field model employed here is designed to simulate solidification using heterogeneous nucleation from inoculant particles allowing to take into account morphological phenomena including the columnar-to-equiaxed transition (CET). The phase field model is first validated against the predictions of the previously developed steady-state CET theory of Hunt \cite{hunt1984steady}. It is then used under transient conditions to study microstructure evolution, revealing that the nucleation rate is noticeably higher in the horizontally built samples due to larger constitutional undercooling, which is consistent with experimental observations. We further quantify the effect of building direction on the local cooling conditions, and consequently on the grain morphology., Comment: 14 pages, 10 figures, two tables

Published
2020

43. The Outcome Range Problem in Interval Linear Programming

Author

Mohammadi, Mohsen and Gentili, Monica

Subjects
Mathematics - Optimization and Control
Abstract

Quantifying extra functions, herein referred to as outcome functions, over optimal solutions of an optimization problem can provide decision makers with additional information on a system. This bears more importance when the optimization problem is subject to uncertainty in input parameters. In this paper, we consider linear programming problems in which input parameters are described by real-valued intervals, and we address the outcome range problem which is the problem of finding the range of an outcome function over all possible optimal solutions of a linear program with interval data. We give a general definition of the problem and then focus on a special class of it where uncertainty occurs only in the right-hand side of the underlying linear program. We show that our problem is computationally hard to solve and also study some of its theoretical properties. We then develop two approximation methods to solve it: a local search algorithm and a super-set based method. We test the methods on a set of randomly generated instances. We also provide a real case study on healthcare access measurement to show the relevance of our problem for reliable decision making.

Published
2019
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45. Characteristics, outcome, duration of hospitalization, and cycle threshold of patients with COVID-19 referred to four hospitals in Babol City: a multicenter retrospective observational study on the fourth, fifth, and sixth waves

Author

Sadeghi, Farzin, Halaji, Mehrdad, Shirafkan, Hoda, Pournajaf, Abazar, Ghorbani, Hossein, Babazadeh, Sara, Ezami, Nafiseh, Fallhpour, Kobra, Fakhraie, Fatemeh, Gorjinejad, Shahrbano, Amoli, Saghar Saber, Amiri, Fatemeh Hejazi, Baghershiroodi, Mahnaz, Ahmadnia, Zahra, Salehi, Maryam, Tourani, Mehdi, Jafarzadeh, Jalal, Tabari, Farzane Shanehbandpour, Ahmadian, Seyed Raheleh, Mohammadi Abandansari, Rouzbeh, Jafarian, Farzaneh, Rouhi, Samaneh, Zabihollahi, Arezoo, Mostafanezhad, Sarina, Saeedi, Fatemeh, Ebrahimian, Arefeh, Deldar, Zeinab, Zavareh, Mahmoud Sadeghi Haddad, Bayani, Masoumeh, Broun, Mana Bazi, Shirzad, Moein, Sabbaghi, Siamak, Mohammadi, Mohsen, Rahmani, Rabeae, and Yahyapour, Yousef

Published
2024
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