A5072682166- Nanofluid Flow and Heat Transfer
- Fluid Dynamics and Turbulent Flows
- Analytical Chemistry and Sensors
- Nanowire Synthesis and Applications
- Neuroscience and Neural Engineering
- Heat Transfer Mechanisms
- Photoreceptor and optogenetics research
- Supercapacitor Materials and Fabrication
- Advanced Chemical Sensor Technologies
- Microfluidic and Bio-sensing Technologies
- Semiconductor materials and interfaces
- Fractional Differential Equations Solutions
- Silicon Nanostructures and Photoluminescence
- Electrochemical Analysis and Applications
- Gas Sensing Nanomaterials and Sensors
- Seismic Imaging and Inversion Techniques
- Adversarial Robustness in Machine Learning
- Advanced battery technologies research
- Microbial Fuel Cells and Bioremediation
- Electrochemical sensors and biosensors
- Anaerobic Digestion and Biogas Production
- Ga2O3 and related materials
- Spaceflight effects on biology
- Hearing, Cochlea, Tinnitus, Genetics
- AI in cancer detection
Thinfilm (Sweden)
2025
University of Tehran
2008-2025
Institute for Research in Fundamental Sciences
2024-2025
Shahid Sadoughi University of Medical Sciences and Health Services
2024
Shahid Beheshti University
2020-2021
National Iranian Oil Company (Iran)
2019
Qaemshahr Islamic Azad University
2010-2014
The growing energy demands of the industrial world have driven advancements in green technologies. Microbial fuel cells (MFCs), which harness power from microorganisms, show promise for extraction wastewater and sludge. However, challenges remain improving output sustaining performance under high-charge conditions. Incorporating nanomaterials into 3D structures offers potential solutions, including miniaturized designs. This study introduces nickel silicide nanowires as anode materials MFCs....
In this paper, the natural convection of a non-Newtonian Cu–water nanofluid between two infinite parallel vertical flat plates is investigated. The basic partial differential equations are reduced to ordinary which solved analytically using homotopy perturbation method. comparison results from and numerical methods in good agreement proves capability method for solving problem. effects nanoparticle volume fraction, dimensionless viscosity Eckert number on flow heat transfer characteristics...
In the present article Optimal Homotopy Asymptotic Method (OHAM) is used to obtain solutions of momentum and heat transfer equations non-Newtonian fluid flow in an axisymmetric channel with porous wall for turbine cooling applications. Numerical method validity this analytical excellent agreement observed between obtained from OHAM numerical results. Trusting validity, effects some other parameters are discussed. The results show that Nusselt number increases increase Reynolds number,...
Abstract SnO 2 is considered as one of the high specific capacity anode materials for Lithium-ion batteries. However, low electrical conductivity limits its applications. This manuscript reports a simple and efficient approach synthesis Sb-doped nanowires (NWs) core carbon shell structure which effectively enhances electrochemical performance nanostructures. Sb doping was performed during vapor-liquid-solid NWs in horizontal furnace. Subsequently, nanolayer coated on using DC Plasma Enhanced...
In this letter, a light-emitting heterostructure is designed and manufactured using vertically aligned n-type zinc oxide nanorods (ZnO NRs) on n <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">+</sup> -GaAs wafers. The chemically grown ZnO NRs were also converted to nanotubes (NTs) 2 molar KCl solution the device fabrication was repeated them. Both types exhibited significant visible light at forward bias of 1 V but with different brightness....
Laminar, isothermal, incompressible and viscous flow in a rectangular domain bounded by two moving porous walls, which enable the fluid to enter or exit during successive expansions contractions is investigated analytically using optimal homotopy asymptotic method (OHAM). OHAM powerful for solving nonlinear problems without depending small parameter. The concept of this briefly introduced, it׳s application problem studied. Then, results are compared with numerical validity these methods...
Abstract In retinal degenerative disorders, when neural cells are damaged, cell transplantation is one of the most promising therapeutic approaches. Optogenetic technology plays an essential role in differentiation stem via membrane depolarization. This study explored efficacy blue light stimulation neuroretinal Opto‐mGluR6‐engineered mouse pigment epithelium (mRPE) and bone marrow mesenchymal (BMSCs). mRPE BMSCs were selected for optogenetic due to their capability differentiate into...
In this paper, we present a hybrid of Incremental Learning radial basis function Neural Network, Gaussian Process classifier and AdaBoost for building breast cancer survivability prediction model. Diagnosis is difficult to accomplish due its noisy data relatively small database. We carried out our experiment on Wisconsin base from the UCI repository which has 16 missing values. applied process regression predicting value attributes. Then, combined RBF AdaBoost, algorithms develop novel...
Morphologically controlled nanostructures have been increasingly important because of their strongly shape dependent physical and chemical properties. Formation nanoscale silicon based structures that employ high levels strain, intentional, unintentional twins or grain boundaries can be dramatically different from the commonly conceived bulk processes. We report, realization highly crystallographic 3D nanosheets with unique morphology ultra-thin thickness by a stress-induced...
The development of direct fabrication routes with seamless integration both the macro/micropatterning process and nanostructure synthesis is crucial for commercial realization cost-effective nanoscale sensor devices. This, if realized, can liberate us from conventional limitations inherent in device manufacturing. Specifically, such can, principle, address challenges as complexity, multistep nature, substantial costs associated existing technologies, which are not suitable widespread market...
The Article Abstract is not available.
We report the evolution of ultra-thin silicon-nickel nanosheets on (111) silicon substrates using a hydrogen plasma processing. A novel stress-induced lateral-diffusion method has been employed to realize thin layers Si-Ni flakes containing nickel quantum dots. The presence carbon during growth is critical form carbon-silicon nanostructures and subsequently induce strain planes substrate. lateral diffusion Ni between enhanced at sheets. These sheets have examined TEM, AFM, SEM, EDS, XRD,...
Herein, the evolution of nickel silicide and silicon nanosheets on substrates using CH 4 plasma followed by hydrogen treatment is reported. A 2–5 nm layer deposited (100) e‐beam evaporation at 150 °C. Hydrogen most critical step for oriented diffusion atoms through [111] planes silicon. Moreover, incorporation trace values carbon found to be crucial achieve formation nanosheets. The presence important induce strain expedite between such planes. Although wafers, an in‐depth observed, (111)...