Salahshour, Soheıl
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Name Variants
Soheil Salahshour
Salahshour, Soheıl
Soheil SALAHSHOUR
Salahshour, Soheil
Soheıl Salahshour
Soheıl SALAHSHOUR
SALAHSHOUR Soheıl
Salahshour Soheil
Salahshour S.
Salahshour, S.
SALAHSHOUR Soheil
Salahshour Soheıl
Soheıl, Salahshour
S., Salahshour
Salahshour,S.
Salahshour, Soheıl
Soheil SALAHSHOUR
Salahshour, Soheil
Soheıl Salahshour
Soheıl SALAHSHOUR
SALAHSHOUR Soheıl
Salahshour Soheil
Salahshour S.
Salahshour, S.
SALAHSHOUR Soheil
Salahshour Soheıl
Soheıl, Salahshour
S., Salahshour
Salahshour,S.
Job Title
Dr.Öğr.Üyesi
Email Address
soheil.salahshour@okan.edu.tr
Main Affiliation
Mühendislik Temel Bilimleri / Engineering Basic Sciences
Status
Website
ORCID ID
Scopus Author ID
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID
Scholarly Output
158
Articles
154
Citation Count
26
Supervised Theses
0
158 results
Scholarly Output Search Results
Now showing 1 - 10 of 158
Article Citation - WoS: 1Citation - Scopus: 1Investigation of mechanical behavior of porous carbon-based matrix by molecular dynamics simulation: Effects of Si doping(Elsevier Science inc, 2024) Ma, Weifeng; Basem, Ali; Salahshour, Soheil; Abdullah, Zainab Younus; Al-Bahrani, Mohammed; Kumar, Raman; Esmaeili, Sh.Understanding the mechanical properties of porous carbon-based materials can lead to advancements in various applications, including energy storage, filtration, and lightweight structural components. Also, investigating how silicon doping affects these materials can help optimize their mechanical properties, potentially improving strength, durability, and other performance metrics. This research investigated the effects of atomic doping (Si particle up to 10 %) on the mechanical properties of the porous carbon matrix using molecular dynamics methods. Young's modulus, ultimate strength, radial distribution function, interaction energy, mean square displacement and potential energy of designed samples were reported. MD outputs predict the Si doping process improved the mechanical performance of porous structures. Numerically, Young's modulus of the C-based porous matrix increased from 234.33 GPa to 363.82 GPa by 5 % Si inserted into a pristine porous sample. Also, the ultimate strength increases from 48.54 to 115.93 GPa with increasing Si doping from 1 % to 5 %. Silicon doping enhances the bonding strength and reduces defects in the carbon matrix, leading to improved stiffness and load-bearing capacity. This results in significant increases in mechanical performance. However, excess Si may disrupt the optimal bonding network, leading to weaker connections within the matrix. Also, considering the negative value of potential energy in different doping percentages, it can be concluded that the amount of doping added up to 10 % does not disturb the initial structure and stability of the system, and the structure still has structural stability. So, we expected our introduced atomic samples to be used in actual applications.Article Citation - WoS: 2Citation - Scopus: 2The molecular dynamics description of Polycaprolactone coating effect on mechanical behavior of Polycaprolactone/BG-AK bio-nanocomposites(Elsevier Sci Ltd, 2024) Du, Xiuli; Jasim, Dheyaa J.; Sajadi, S. Mohammad; Hekmatifar, Maboud; Salahshour, Soheil; Sabetvand, Roozbeh; Toghraie, DavoodIn current computational research, the effect of Polycaprolactone (PCL) coating on the mechanical properties (MP) of biomimetic calcium phosphate (BCP)/Baghdadite (BG)-AK nanocomposite (NC) is investigated by using molecular dynamics simulation (MDS). Our study models BCP/BG-AK-PCL samples by Universal Force Field (UFF) and DREIDING potential functions. The outcomes of MDS on the MP of atomic samples are presented by computing physical factors like temperature (Temp), potential energy (PE), Young's modulus (YM), and ultimate strength (US). Physically, MD outputs indicate the physical stability of the BCP/BG-AK-PCL sample after 5 ns. Also, by inserting the PCL coat into the pristine matrix, the YM of this structure reaches 0.39 MPa, and the US increases to 20.28 MPa. These numerical results show the important effect of PCL coats on the MP of pristine BCP/BG-AK NC, which can be used for clinical applications.Article Citation - WoS: 0Citation - Scopus: 1Effect of channel roughness on the particle diffusion and permeability of carbon nanotubes in reverse electrodialysis process applying molecular dynamics simulation(Elsevier Science inc, 2025) Li, Yabing; Ali, Ali B. M.; Tapia, Nelly Esther Flores; Kamolova, Nargiza; Salahshour, Soheil; Sabetvand, RozbehInnovative technology and methods are crucial for making pure and refreshing water. Two main methods are present to delete soluble salts from water: membrane processes and thermal processes. A beneficial membrane technique is reverse electrodialysis. This research used molecular dynamics (MD) simulation to investigate how channel roughness affected particle diffusion and permeability in carbon nanotubes (CNTs) via the reverse electrodialysis process. The results indicate that adding roughness in the CNT duct increased the force between the primary fluid and the duct. Using an armchair-edged CNT structure maximized the electric current in the sample. Furthermore, the roughness increased the intensity of force in the channel, which was due to gravity, leading to a decrease in the mobility of fluid particles. Additionally, several broken hydrogen bonds inside the simulation box increased from 116 to 128 in the duct sample with roughness.Article Citation - WoS: 1Citation - Scopus: 1Prediction of heat transfer characteristics and energy efficiency of a PVT solar collector with corrugated-tube absorber using artificial neural network and group method data handling models(Pergamon-elsevier Science Ltd, 2024) Li, Lei; Hassan, Waqed H.; Mohammed, Abrar A.; Montufar, Paul; AL-Maamori, Zainab M.; Sultan, Abbas J.; Esmaeili, ShadiPhotovoltaic thermal (PVT) systems offer an attractive prospect to produce thermal and electricity powers when used as the building envelope. The present numerical analysis is performed intending to evaluate the thermal, electrical, and overall efficiencies of a PVT unit with a corrugated serpentine absorber tube filled with the A(2)O(3)/water nanofluid. The influence of Reynolds number (Re) and nanoparticle concentration (w) on the performance metrics of the system is analyzed. The result indicated that within the w range of 0-1%, the increment in Re from 500 to 2000 diminishes the PV panel temperature by 3.13-3.32%, while pressure drop boosts by 5480.95-5580.06%. The increase in w from 0% to 1%, however, declines the PV panel temperature and pumping power by 0.43-0.62% and 1.25-2.97%, respectively. The range of changes in the overall efficiency was 60.38-90.45%, the maximum and minimum of which belong to Re = 2000&w=1% &w =1% and Re = 500&w=0%, &w =0%, respectively. The results of artificial neural network (ANN) modeling presented an accurate function for estimation of the overall efficiency of the studied PVT unit based on the Re and w with the R-squared coefficient of determination of R-2 = 0.99602.Article Citation - WoS: 1Citation - Scopus: 2Deep prediction on financial market sequence for enhancing economic policies(Springer int Publ Ag, 2024) Salahshour, Soheil; Salimi, Mehdi; Tehranian, Kian; Erfanibehrouz, Niloufar; Ferrara, Massimiliano; Ahmadian, AliNumerous sectors are significantly impacted by the quick advancement of image and video processing technologies. Investors can kind knowledgeable savings choices based on the examination and projection of financial bazaar income, and the government can create accurate policies for various forms of economic control. This study uses an artificial rabbits optimization algorithm in image processing technology to examine and forecast the returns on financial markets and multiple indexes using a deep-learning LSTM network. This research uses the time series technique to record the regional correlation properties of financial market data. Convolution pooling in LSTM is then used to gather significant details concealed in the time sequence information, generate the data's tendency bend, and incorporate the structures using technology for image processing to ultimately arrive at the forecast of the economic sector's moment series earnings index. A popular artificial neural network used in time series examination is the long short-term memory (LSTM) network. It can accurately forecast financial marketplace values by processing information with numerous input and output timesteps. The correctness of financial market predictions can be increased by optimizing the hyperparameters of an LSTM model using metaheuristic procedures like the Artificial Rabbits Optimization Algorithm (ARO). This research presents the development of an enhanced deep LSTM network with the ARO method (LSTM-ARO) for stock price prediction. According to the findings, the research's deep learning system for financial market series prediction is efficient and precise. Data analysis and image processing technologies offer practical approaches and significantly advance finance studies.Article Citation - WoS: 0Citation - Scopus: 0The effect of initial pressure and atomic concentration of iron nanoparticles on thermal behavior of sodium sulfate/magnesium chloride hexahydrate nanostructure by molecular dynamics simulation(Elsevier, 2024) Huang, Yijin; Kamoon, Saeed S.; Kaur, Mandeep; Basem, Ali; Khaddour, Mohammad H.; Al-Bahrani, Mohammed; Emami, NafisehThermal energy storage (TES) is one of the uses of phase change material (PCM). The primary factor contributing to this capability is the elevated latent heat of melting present in these materials. The current study investigates the effect of initial pressure (IP) (ranging from 1 to 5 bar), and atomic ratio (AR) of Iron nanoparticles (NPs) (Fe = 1, 2, 3, and 5 %) on the thermal behavior (TB) and phase transition process of sodium sulfate/Magnesium chloride hexahydrate (Na 2 SO 4 /MgCl 2 & sdot; 6H 2 O) nanostructures as PCMs using molecular dynamics (MD) simulation. The simulated PCM was positioned inside a spherical atomic channel composed of iron. The TB of simulated nanostructures was examined by reporting changes in viscosity (Vis), thermal conductivity (TC), and phase transition time (PTT). The results reveal that by increasing IP from 1 to 5 bar, the PTT reaches from 3.50 to 3.61 ns, and the TC decreases from 1.03 to 0.94 W/m.K. The results show that adding 3 % of Fe NPs was the optimal ratio to improve the TB of the Na 2 SO 4 /MgCl 2 & sdot; 6H 2 O-Fe NP. By raising the ratio of Fe NPs from 1 to 3 %, Vis slightly decreased from 4.31 to 4.22 mPa.s. In comparison, adding more Fe NPs with 5 % ratio raised the Vis to 4.30 mPa.s. According to the results, increasing the IP decreased the distance among the particles. So, the attraction among particles increased, leading to greater adhesion and Vis. By increasing the IP, the distance among atoms decreases, and the space between NPs and atoms in the simulation box decreases. Consequently, NP movement and fluctuations decrease, and collisions decrease. The results of this simulation will be effective in heating - cooling and ventilation systems, automotive industries, textile industries, and so on.Article Citation - WoS: 0Citation - Scopus: 0A new approach for recycling, fabrication, and heat treatment of al base composites reinforced with rice husk ash particles(Pergamon-elsevier Science Ltd, 2024) Vini, Mohammad Heydari; Daneshmand, Saeed; Hassan, Waqed H.; Khaddour, Mohammad H.; Jaafar, Mahdi Sh.; Salahshour, Soheil; Hekmatifar, MaboudAs a novel combined environmental toxicology technique to reduce the environmental hazards to humans, the utilization of agriculture waste as a novel waste material recycling process in aluminum metal matrix composites has been getting more attention to fabricate and improve the properties of this kind of composites. In this study, a new kind of metal matrix composite reinforced with rice husk ash particles has been fabricated. In the first step, the Al base composites reinforced with rice husk ash particles were fabricated via the compa casting process and the second step was the study of their mechanical, electrical, physical and wear properties. It also highlights the current application and future potential of agriculture-industrial waste-reinforced composites for various applications with a focus on material manufacturing in vessels, automobiles and other construction industries. Also, the annealing was performed after ARB on fabricated composites. Different elongation can happen during heating and annealing since the thermal expansion coefficients of composite samples are not equal and could weaken the strength of the interface. The examination unveiled that composites containing 10% by weight of RHA particulates exhibit superior mechanical and wear resistance compared to monolithic samples. Moreover, the average Vickers hardness of the samples increased from 154.0 to 168.0 for monolithic and 10% RHA samples, respectively, marking a 9% improvement.Article Citation - WoS: 3Citation - Scopus: 2A high-order space-time spectral method for the distributed-order time-fractional telegraph equation(Springernature, 2024) Derakhshan, M. H.; Kumar, Pushpendra; Salahshour, SoheilIn this paper, a high-order and fast numerical method based on the space-time spectral scheme is obtained for solving the space-time fractional telegraph equation. In the proposed method, for discretization of temporal and spatial variables, we consider two cases. We use the Legendre functions for discretization in time. To obtain the full discrete numerical approach, we use a Fourier-like orthogonal function. The convergence and stability analysis for the presented numerical approach is studied and analyzed. Some numerical examples are given for the effectiveness of the numerical approach.Article Citation - WoS: 0Citation - Scopus: 0Investigating the effect of heat flux on tetracycline absorption by bio-MOF-11 nanostructure: A molecular dynamics approach(Elsevier, 2024) Liu, Zhiming; Basem, Ali; Aljaafari, Haydar A. S.; Saleh, Sami Abdulhak; Kazem, Tareq Jwad; Jameel, Mohammed Khaleel; Baghaei, Sh.Tetracycline is a type of antibiotic that falls under the category of antibiotics. Studying the absorption process of Tetracycline by bio-MOF-11 carrier is important for enhancing drug delivery efficiency, optimizing dosage, and increasing bioavailability, ultimately improving treatment outcomes and potentially leading to the development of new therapies. The present study examined the effect of variable amplitude heat flux (HF) on the bio-MOF-11 carriers' ability to absorb tetracycline. Various parameters were assessed and documented using molecular dynamics simulation and LAMMPS software, including the mean square displacement, number of drug particles, diffusion coefficient, and interaction energy. The results show that by increasing heat flux to 0.04 W/m 2 , the interaction energy became more negative, decreasing from - 1376.35 to - 1549.35 kcal/mol. Both mean square displacement and diffusion coefficient increased from 72.906 & Aring; 2 and 75.69 28 nm 2 /ns to 79.745 & Aring; 2 and 83.28 nm 2 /ns, respectively. Also, the number of penetrated Tetracycline-Drug in bio-MOF-11 carriers increased to 606, but it decreased to 520 with a further increase in HF to 0.08 W/m 2 . The different ways that heat affected adsorption process within the MOF structure may be the cause of this change. The first improvement in penetration can be a sign of improved drug binding and mobility at a moderate HFA. In contrast, the subsequent decrease at higher HFA levels could suggest that excessive heat disrupts the adsorption mechanism, potentially affecting the stability and efficiency of drug delivery within the system.Article Citation - WoS: 0Citation - Scopus: 0On the investigation of fractional coupled nonlinear integrable dynamical system: Dynamics of soliton solutions(World Scientific, 2024) Muhammad,J.; Younas,U.; Rezazadeh,H.; Ali Hosseinzadeh,M.; Salahshour,S.The primary focus of this paper is the investigation of the truncated M fractional Kuralay equation, which finds applicability in various domains such as engineering, nonlinear optics, ferromagnetic materials, signal processing, and optical fibers. As a result of its capacity to elucidate a vast array of complex physical phenomena and unveil more dynamic structures of localized wave solutions, the Kuralay equation has received considerable interest in the scientific community. To extract the solutions, the recently developed integration method, referred to as the modified generalized Riccati equation mapping (mGREM) approach, is utilized as the solving tool. Multiple types of optical solitons, including mixed, dark, singular, bright-dark, bright, complex, and combined solitons, are extracted. Furthermore, solutions that are periodic, hyperbolic, and exponential are produced. To acquire a valuable understanding of the solution dynamics, the research employs numerical simulations to examine and investigate the exact soliton solutions. Graphs in both two and three dimensions are presented. The graphical representations offer significant insights into the patterns of voltage propagation within the system. The aforementioned results make a valuable addition to the current body of knowledge and lay the groundwork for future inquiries in the domain of nonlinear sciences. The efficacy of the modified GREM method in generating a wide range of traveling wave solutions for the coupled Kuralay equation is illustrated in this study. © 2024 The Author(s) World Scientific Publishing Company.
