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Preparation and investigation of cobalt nanoparticles by laser ablation: Structure, linear, and nonlinear optical properties

  • Manar. Lo. Dayekh EMAIL logo , Amin Ghadi and Saleem A. Hussain
Published/Copyright: April 5, 2024
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Abstract

In this study, cobalt nanoparticles (CoNPs) were prepared by using an Nd–YAG pulsed laser at a wavelength of 1,064 nm and an energy of 800 mJ. From the results of the structural and morphological attributes of CoNP films, it is evident that CoNPs exhibit different spherical configurations with diameters spanning from a few nanometers to 24 nm. The surfaces of these CoNP films indicate that they exhibit a certain degree of homogeneity and uniform vertical heights. Additionally, the results demonstrate an increase in granular size growth and the emptying of cavities on the material’s surface. The absorption curves appeared as a function of the wavelength within the range of 300–1,000 nm and the peak absorption of CoNPs in the ultraviolet radiation region, and the prohibited energy gap for direct transitions was known, and the value is 4 eV, while the nonlinear optical properties showed that the particles show a nonlinear refractive index (self-defocusing) and a nonlinear absorption cobalt coefficient with the absorption of two photons; thus, the CoNPs possess good nonlinear properties and can be used in nonlinear optical photonic device, optical power limiter, and a wide range of nonlinear applications.

1 Introduction

The field of nanotechnology, which is seeing significant growth, encompasses the development and fabrication of diverse nanomaterials. Nanoparticles (NPs) are defined as objects ranging in size from 1 to 100 nm, which exhibit distinct properties compared to their bulk counterparts as a result of their reduced dimensions. Currently, a range of metallic nanomaterials is being synthesized using copper, zinc, titanium, magnesium, gold, alginate, silver, and cobalt. NPs find extensive utilization throughout several domains, including medical interventions, energy storage in solar and oxide fuel batteries, as well as widespread integration into numerous everyday commodities such as clothes and cosmetics [1,2]. The increasing need for nanomaterials, coupled with the realization that achieving high efficiency is not the sole objective in numerous industrial and technological applications, has prompted the development of diverse production methods for these materials. This diversification holds significant promise in terms of both quantitative and qualitative advancements, particularly in the medical domain, which has historically been challenging to access due to its high economic costs [1,3]. The techniques or procedures discussed herein are characterized by their operation at the atomic level in order to attain desired outcomes. Furthermore, it is observed that alterations in the mass scale of a given substance lead to corresponding differences in its chemical reactivity. Based on the observed increase in chemical activity, it may be inferred that as the scale decreases, the chemical activity proportionally increases. The acceleration of preparedness for nanoscience and nanotechnology is being driven by global technical advancements in several sectors. There are two fundamental sorts of technologies, namely top-down and bottom-up technologies [4]. NPs employ a top-down approach to selectively remove material and create smaller structures from bigger ones through etching. In contrast, a material is constructed by a bottom-up approach, wherein it is systematically assembled atom by atom, molecule by molecule, or cluster by cluster [3]. The creation of NPs using pulsed laser ablation (PLA) of solid samples submerged in liquid has been shown to possess considerable potential [4]. The earliest description of the development of PLA at the solid–liquid interface for the purpose of creating iron oxides with metastable phases was provided by Patil et al. in 1987. The aforementioned procedure was conducted by subjecting a pure iron target to ablation in a water medium, employing a pulsed laser. The technique referred to as liquid phase pulsed laser ablation (LP-PLA) is denoted by this nomenclature [5]. The utilization of PLA in liquids is a novel approach to the synthesis of NPs in a colloidal solution [6]. The process is uncomplicated and does not necessitate any knowledge of chemistry. Moreover, it is not limited in its scope as it can generate NPs without the need for counter ions or surface-active molecules [7]. Cobalt is considered one of the important materials in technological, industrial, and medical applications, and it has various uses due to its properties, including ferromagnetism, hardness, and corrosion resistance, in addition to the high melting degree and multiple equalities [8]. The particles of nano-cobalt are promising with exceptional motivational material for the magnetic, chemical, and electronic properties. Since the nanoscale and the developed surface open wide field in the application of cobalt nanoparticles (CoNPs) in optical methods and biomedicine in addition to other fields and the application of particles in many therapeutic and diagnostic agents and magnetic resonance imaging [9]. Cobalt has garnered significant attention owing to its distinctive characteristics and a wide range of applications. Nevertheless, it is important to acknowledge that the exceptional characteristics of cobalt have garnered more fascination due to the revelation of atypical physical and chemical attributes exhibited by CoNPs [2]. In this study, CoNPs were prepared by the pulsed Nd–YAG laser deposition method, and structure, linear, and nonlinear optical properties were studied. The results obtained are good and interesting and can be developed and used to be certified for the manufacture of optical sensors, optical solar cells, and other optical devices. The results also showed high nonlinear optical effects, which qualify them as good and promising materials for applications in nonlinear optical photonic devices, optical power selectors, and a wide range of nonlinear optical applications.

Various methods are employed to measure the nonlinear optical properties of the material. The Z-scan approach is the most straightforward method for evaluating the attributes associated with its exceptional sensitivity to a solitary laser beam [10]. The Z-scan technique was employed to measure the magnitude and sign of nonlinear features [11]. This technique has been employed to ascertain the nonlinear optical properties of several substances, including liquid crystals, organic or carbon-based molecules, dielectrics, and semiconductors [12]. The essential geometry is shown in Figure 1.

Figure 1 
               Z-scan experimental arrangement [13].
Figure 1

Z-scan experimental arrangement [13].

The Z-scan technique is based on the assumption that the sample is moved down the Z-axis, passing past the focal point of the Gaussian beam. The interaction between the laser light and the medium varies as the sample moves. The variation in intensities of the sample is attributed to its positional relationship (z) with respect to the focal point (z = 0) [11]. In the conventional procedure, it is customary to position the specimen precisely at the focal point of the lens and thereafter displace it incrementally along the z-axis at a distance denoted as z o, where z represents the Rayleigh length [14]

(1) z o = ω o 2 λ π ,

where ω o is the radius of the laser beam and λ represents the wavelength.

The ways to use Z-scan: Close aperture and Open aperture. When measuring nonlinear absorption, the open aperture Z-scan is utilized, whereas when measuring nonlinear refraction, the tight aperture Z-scan is followed [14].

The change in temperature, denoted as ΔT, exhibits a direct relationship with the nonlinear phase shift, ΔФo, as stated in Kumari et al. [14]. It is commonly observed that the disparity between the maximum and minimum magnitudes of the normalized transmittance serves as a reliable diagnostic of nonlinearity

(2) Δ T p v = 0.406 | Δ Ф o | ,

where 0.406 is the constant quantity. And

(3) Δ Ф o = k n 2 I o L eff ,

where Δ Ф o is the nonlinear phase shift, k represents the wave number [15], and I represents the initial laser beam intensity at focus z = 0.

(4) I o = P / 2 π ѡ o 2 .

While the laser beam’s radius is ѡ o and its power is P.

(5)In addition, L eff = ( 1 exp ( α t ) / α ) ,

where L eff is the sample’s effective thickness [16].

The nonlinear refraction index, denoted as n 2, is demonstrated via

(6) n 2 = Δ Ф / k I o L eff .

The relationship between the change in the nonlinear refractive index (Δn) and the intensity of a laser beam (I₀) can be expressed as follows:

(7) Δ n = n 2 I o .

The nonlinear absorption coefficient can be counted from the open aperture curve utilizing the following formula [17]:

(8) β = 2 2 I o L eff T ,

where the variable ∆T represents the occurrence of a singular peak or singular valley on the Z-scan curve when an open aperture is utilized. The third-order nonlinear optical susceptibility χ (3) can be understood in terms of two relationships (9) and (10). These connections establish that the real component of χ (3) corresponds to the nonlinear refraction index, while the virtual component corresponds to the nonlinear absorption coefficient [18]

(9) Re [ χ ( 3 ) ] ( esu ) = 10 4 o c 2 n o 2 n 2 π cm 2 W ,

(10) Im [ χ ( 3 ) ] ( esu ) = 10 2 o c 2 n o 2 λ β 4 π 2 cm 2 W .

The following equation (11) can be employed to represent the magnitude of the third-order nonlinear optical susceptibility, denoted as |χ(3) |

(11) | χ ( 3 ) | = [ Re ( χ ( 3 ) ) + Im ( χ ( 3 ) ) ] 1 / 2 .

2 Experimental method

PLA was used to prepare CoNPs from cobalt metal fragments that had been purified using ethanol solution and distilled water to remove impurities. The Nd–YAG pulse laser system with a wavelength of 1,064 nm, a capacity of 800 mJ, a pulse count of 1,500 pulses, a repetition rate of 6 Hz, and a beam diameter of 2 mm in the water solution was utilized to prepare the CoNPs. In order to produce CoNPs, a laser beam with a wavelength of 1,064 nm was pointed onto a cobalt metal target submerged in 3 ml of distilled water in Baker. After that CoNPs were deposited and dried on glass bases, the structure properties were studied using the FE-SEM study (TESCAN Mira3-, Czech Republic), and the atomic force microscope (AFM; NT-MDT, NTEGRA AFM, Ireland) was used with the specifications. The optical features of films formed of CoNPs have been studied at wavelengths between 300 and 1,100 nm using a Mega-2100 Dual UV–Vis Spectrophotometer. The nonlinear optical characteristics of CoNP films are described using Z-scan techniques to determine the nonlinear optical properties.

3 Results and discussion

3.1 Result of microscopy via field emission scanning electron (FESEM) tests

FESEM screening images of CoNPs prepared by a 1,064 nm Nd–YAG pulsed laser deposited on a glass substrate were obtained to determine their shape. The morphological images of the cobalt particle surfaces that have been eliminated in distilled water exhibit increased granular size, spherical shape, and homogeneous with distinctive shapes. Images taken at a magnification of 200k× allow us to observe that the surfaces of cobalt particles are free of islands, have a homogeneous distribution, and clearly demonstrate an increase in the rate of granular size. Thus, we notice through images at the shape (200 nm, 1 μm) that cobalt particles are composed of nano-structured granules and arranged regularly. These grains with spherical structures showed distinctive shapes, and the diameter of the NPs ranging from a few nanometers to 24 nm was calculated as seen in Figure 2.

Figure 2 
                  FESEM examination images of CoNPs deposited on glass substrates.
Figure 2

FESEM examination images of CoNPs deposited on glass substrates.

3.2 Surface texture analysis (AFM)

Figure 3 displays the atomic force microscopy pictures of CoNPs that were synthesized using pulsed Nd–YAG laser ablation in water, having a wavelength of 1,064 nm. These NPs were then deposited on glass substrates. The dimensions of the captured image were 2 μm × 2 μm. The findings indicate that the membrane materials exhibit a certain degree of homogeneity and uniform vertical heights, as observed in both two- and three-dimensional testing. Additionally, the results demonstrate an increase in granular size growth and the absence of cavities on the material’s surface. Table 1 illustrates the morphological characteristics of the CoNP films that were created.

Figure 3 
                  Images of AFM and diagram of the statistical distribution of CoNPs.
Figure 3

Images of AFM and diagram of the statistical distribution of CoNPs.

Table 1

Topographical characteristics of CoNPs prepared by pulsed Nd–YAG laser ablation having a wavelength of 1,064 nm

Sample Root mean square Sq (nm) Roughness average Sa (nm)
CoNPs (1064) 20.0167 15.3807

3.3 Optical measurements

3.3.1 Linear optical properties

The optical properties of any material are the properties that must be known in order to know the nature of the material and its uses in different applications, and information can be obtained on the optical properties by measuring the absorption and permeability spectrum of different wavelengths and through which the optical constants are calculated, and the optical energy gap is known. Here are some of the results that are calculated for CoNPs.

Figure 4 shows the change in the absorption spectrum of the aqueous solution of CoNPs suspended in water as a function of the wavelength (300–1,100 nm) and the appearance of CoNP peaks at 400 and 700 nm. The reason for the existence of these peaks is due to the average size of the NPs produced with the laser pulse used in the scraping process, due to the formation of NPs and thus increased absorption. Also, the surface plasmon resonance distribution of CoNPs depends on the methods of preparation of NPs, which indicates different particle distribution and morphology of NPs as indicated by previous research [19,20,21].

Figure 4 
                     Absorbance versus wavelength for CoNPs.
Figure 4

Absorbance versus wavelength for CoNPs.

The transmittance spectra of CoNP films, which had a thickness of 200 nm, were analyzed within the wavelength range of 300–1,100 nm. The quantity of energy levels, which is associated with the chemical composition and crystalline properties of matter, constitutes one of the factors influencing transmittance spectra. Moreover, the thickness of a material plays a pivotal role in the process of matter transfer. Figure 5 displays the transmittance spectra of films composed of CoNPs, illustrating the relationship between transmittance and wavelengths. The transmission and absorbance spectra exhibit inverse behavior. The data illustrate the relationship between transmittance and wavelength, indicating a decrease in transmittance as the wavelength decreases and an increase in transmittance as the wavelength increases. According to the data presented in Figure 5, it can be observed that the transmittance attains its maximum value of 75.84% at wavelengths equal to and greater than 1,098.

Figure 5 
                     Transmittance versus wavelength for CoNPs.
Figure 5

Transmittance versus wavelength for CoNPs.

Figure 6 illustrates the connection between the absorbance coefficient ( α ), which depends on the energy of the incident photon (hv). When the absorbance coefficient exceeds ( 10 4 cm 1 ), transfers are regarded as direct transfers. The absorption coefficient ( α ) of CoNPs with a thickness of 200 nm was determined [10] using relation (12). The absorption coefficient ( α ) is dependent on the energy of the incident photons as well as on the characteristics of the material, which include energy gaps and different types of electronic transmission that occur between frequency bands.

(12) α = 2.303 A / t ,

where α is the absorption coefficient, A is the absorbance, and t is the thickness of film.

Figure 6 
                     Absorption coefficient relation photon energy for CoNPs.
Figure 6

Absorption coefficient relation photon energy for CoNPs.

The reflection coefficient of CoNPs deposited on glass was determined using the following relationship (13):

(13) n o = 1 + R 1 R + 4 R ( 1 R ) 2 K 2 .

Figure 7 illustrates the correlation between the refractive index and the energy of a photon. It is observed that the refractive index curve exhibits a drop as the energy of the photon surpasses the energy gap, particularly at higher energy levels. The findings indicate that the refractive index at the membrane reaches its peak value at 2.5881. Subsequently, the refractive index coefficient increases as the energy of the photon increases until it reaches its maximum value at 2.3 eV. Afterward, it decreases and reaches 1.766 when the photon energy is 4.2 eV. This decrease can be attributed to an increase in compaction, resulting in a decrease in the speed of light propagation within the material. It is important to note that the refractive index is influenced by the material type and its crystal structure.

Figure 7 
                     Refractive index relation photon energy for CoNPs.
Figure 7

Refractive index relation photon energy for CoNPs.

The energy of the incident photons as well as the properties of the material, which include energy gaps and various kinds of electronic transmission that take place between frequency bands, determines the absorption coefficient.

The optical energy gap’s magnitude is one of the most fundamental optical parameters that is impacted by matter structure. Equation Tauc (14) with r = 1/2 [10] restricts the CoNPs Co films energy gap for permitted direct electronic transitions:

(14) α h υ = β ( h υ E g ) r ,

where α is the absorption coefficient, β is the constant dependent on effective mass and medium density, h is the Plank constant, and ν is the incident photon frequency. Additionally, the constant r assumes different values (3, 2, 2/3, 1/2) depending on the specific type of electronic transitions responsible for the optical absorption [10].

In order to cut the photon energy axis at the position () = 0, the straight section is drawn to connect ( α hv ) ½ and photon energy (). According to Figure 8, the CoNP films’ energy gap to direct transition is 4 eV.

Figure 8 
                     Variation for the 
                           
                              
                              
                                 
                                    
                                       (
                                       α
                                       hv
                                       )
                                    
                                    
                                       ½
                                    
                                 
                              
                              {\left(\alpha {hv})}^{½}
                           
                         with the incident photon energy for CoNPs.
Figure 8

Variation for the ( α hv ) ½ with the incident photon energy for CoNPs.

3.3.2 Nonlinear optical properties

Figures 9 and 10 illustrate the empirical results acquired by employing the Z-scan technique on CoNPs positioned on a glass substrate. The studies were carried out using both closed and open apertures, utilizing continuous wave diodes operating at a power output of 50 mW at a wavelength of 650 nm. The nonlinear optical coefficients of CoNP films were compiled. The determination of the third-order nonlinear optical susceptibility, denoted as |χ(3)|, can be achieved by employing equation (11). Similarly, the calculation of the nonlinear absorption coefficient, represented as β, can be obtained using equation (8). The evaluation of the nonlinear refraction index, denoted as n 2, can be accomplished by applying equation (6). Additionally, the assessment of the change in refraction index, indicated as ∆n, can be obtained by utilizing equation (7). These equations provide a means to quantify these various quantities of interest.

Figure 9 
                     The normalized transmittance curve of CoNPs at a 650 nm wavelength with a power of 50 mW as a function of position.
Figure 9

The normalized transmittance curve of CoNPs at a 650 nm wavelength with a power of 50 mW as a function of position.

Figure 10 
                     The normalized transmittance curve for CoNPs at 650 nm with a power of 50 mW as a function of position.
Figure 10

The normalized transmittance curve for CoNPs at 650 nm with a power of 50 mW as a function of position.

The transmittance curve of CoNP, which is influenced by various positions in the close aperture Z-scan, is depicted in Figure 9. Similarly, Figure 10 illustrates the transmission curve of CoNPs, which exhibits dependence on various locations within the open aperture Z-scan. The determination of the nonlinear refraction index involves calculating the ratio of the transmission magnitudes of a laser beam with a closed aperture to the transmission magnitudes without an aperture. This process is demonstrated in Figures 8 and 9. The nonlinear refraction index n 2 was determined to be 2.64 × 10 15 cm²/mW at a wavelength of 650 nm, by the analysis of Z-scan operations performed on CoNP films. Furthermore, the value of the nonlinear absorption coefficient β was determined to be 6.65 × 10 8 cm/mW at the wavelength of 650 nm, employing a power of 50 mW. As evidenced by the data presented in Table 2, the value of the third-order nonlinear optical susceptibility χ(3) is determined to be 2.87 × 10 8 at a wavelength of 650 nm and a power of 50 mW.

Table 2

Result of nonlinear optical properties for CoNP films by Z-scan technique

λ(nm) Power of laser (mW) (Rad) T P‒V n × 10 15 (cm²/mW) n × 10 13 T max β × 10 8 (cm/mW) │χ(3) × 10 8
650 50 1.428571 0.58 2.64 3.37 20.6 6.65 2.87

The Z-scan technique was employed to investigate the optical properties of films containing CoNPs. It was found that these films exhibit a self-defocusing effect and display two-photon absorption, as observed in both closed and open apertures. Additionally, it has been observed that films containing CoNPs demonstrate a substantial level of the third-order nonlinear optical susceptibility.

4 Conclusion

The CoNPs were synthesized using a pulsed Nd–YAG laser operating at a wavelength of 1,064 nm and an energy of 800 mJ. The synthesis process involved dispersing the NPs in water and subsequently depositing them onto glass substrates. From the results of the structural and morphological attributes of CoNP films, it is evident that CoNPs exhibit different spherical configurations with diameters spanning from a few nanometers to 24 nm. The surfaces of these CoNP films are noticed to indicate that they exhibit a certain degree of homogeneity and uniform vertical heights. Additionally, the results demonstrate an increase in granular size growth and the emptying of cavities on the material’s surface. The absorption spectra exhibited a prominent peak at a wavelength of 300 nm, accompanied by further peaks spanning the range of 400–700 nm. The optical constants and energy gap were determined through the analysis of absorbance and transmittance measurements. The experimental findings pertaining to the nonlinear optical characteristics of CoNP films revealed the presence of two-photon absorption and nonlinear refraction index self-defocusing. Consequently, it can be inferred that CoNPs possess good nonlinear properties and can be used in nonlinear optical photonic devices, optical power limiters, and a wide range of nonlinear applications.

  1. Author contributions: MLD contributed to the experimental work, analyzing the scientific results, and drawing the graphics that appeared in the manuscript. AG contributed by writing the introduction to the research and providing technical supervision for writing the manuscript. SAH contributed by writing the summary and conclusion.

  2. Conflict of interest: Authors state no conflict of interest.

  3. Data availability statement: The most datasets generated and/or analysed in this study are comprised in this submitted manuscript. The other datasets are available on reasonable request from the corresponding author with the attached information.

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Received: 2024-01-04
Revised: 2024-02-16
Accepted: 2024-02-28
Published Online: 2024-04-05

© 2024 the author(s), published by De Gruyter

This work is licensed under the Creative Commons Attribution 4.0 International License.

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  66. A study of the vibrations of a rotor bearing suspended by a hybrid spring system of shape memory alloys
  67. Stability analysis of Hub dam under rapid drawdown
  68. Developing ANFIS-FMEA model for assessment and prioritization of potential trouble factors in Iraqi building projects
  69. Numerical and experimental comparison study of piled raft foundation
  70. Effect of asphalt modified with waste engine oil on the durability properties of hot asphalt mixtures with reclaimed asphalt pavement
  71. Hydraulic model for flood inundation in Diyala River Basin using HEC-RAS, PMP, and neural network
  72. Numerical study on discharge capacity of piano key side weir with various ratios of the crest length to the width
  73. The optimal allocation of thyristor-controlled series compensators for enhancement HVAC transmission lines Iraqi super grid by using seeker optimization algorithm
  74. Numerical and experimental study of the impact on aerodynamic characteristics of the NACA0012 airfoil
  75. Effect of nano-TiO2 on physical and rheological properties of asphalt cement
  76. Performance evolution of novel palm leaf powder used for enhancing hot mix asphalt
  77. Performance analysis, evaluation, and improvement of selected unsignalized intersection using SIDRA software – Case study
  78. Flexural behavior of RC beams externally reinforced with CFRP composites using various strategies
  79. Influence of fiber types on the properties of the artificial cold-bonded lightweight aggregates
  80. Experimental investigation of RC beams strengthened with externally bonded BFRP composites
  81. Generalized RKM methods for solving fifth-order quasi-linear fractional partial differential equation
  82. An experimental and numerical study investigating sediment transport position in the bed of sewer pipes in Karbala
  83. Role of individual component failure in the performance of a 1-out-of-3 cold standby system: A Markov model approach
  84. Implementation for the cases (5, 4) and (5, 4)/(2, 0)
  85. Center group actions and related concepts
  86. Experimental investigation of the effect of horizontal construction joints on the behavior of deep beams
  87. Deletion of a vertex in even sum domination
  88. Deep learning techniques in concrete powder mix designing
  89. Effect of loading type in concrete deep beam with strut reinforcement
  90. Studying the effect of using CFRP warping on strength of husk rice concrete columns
  91. Parametric analysis of the influence of climatic factors on the formation of traditional buildings in the city of Al Najaf
  92. Suitability location for landfill using a fuzzy-GIS model: A case study in Hillah, Iraq
  93. Hybrid approach for cost estimation of sustainable building projects using artificial neural networks
  94. Assessment of indirect tensile stress and tensile–strength ratio and creep compliance in HMA mixes with micro-silica and PMB
  95. Density functional theory to study stopping power of proton in water, lung, bladder, and intestine
  96. A review of single flow, flow boiling, and coating microchannel studies
  97. Effect of GFRP bar length on the flexural behavior of hybrid concrete beams strengthened with NSM bars
  98. Exploring the impact of parameters on flow boiling heat transfer in microchannels and coated microtubes: A comprehensive review
  99. Crumb rubber modification for enhanced rutting resistance in asphalt mixtures
  100. Special Issue: AESMT-6
  101. Design of a new sorting colors system based on PLC, TIA portal, and factory I/O programs
  102. Forecasting empirical formula for suspended sediment load prediction at upstream of Al-Kufa barrage, Kufa City, Iraq
  103. Optimization and characterization of sustainable geopolymer mortars based on palygorskite clay, water glass, and sodium hydroxide
  104. Sediment transport modelling upstream of Al Kufa Barrage
  105. Study of energy loss, range, and stopping time for proton in germanium and copper materials
  106. Effect of internal and external recycle ratios on the nutrient removal efficiency of anaerobic/anoxic/oxic (VIP) wastewater treatment plant
  107. Enhancing structural behaviour of polypropylene fibre concrete columns longitudinally reinforced with fibreglass bars
  108. Sustainable road paving: Enhancing concrete paver blocks with zeolite-enhanced cement
  109. Evaluation of the operational performance of Karbala waste water treatment plant under variable flow using GPS-X model
  110. Design and simulation of photonic crystal fiber for highly sensitive chemical sensing applications
  111. Optimization and design of a new column sequencing for crude oil distillation at Basrah refinery
  112. Inductive 3D numerical modelling of the tibia bone using MRI to examine von Mises stress and overall deformation
  113. An image encryption method based on modified elliptic curve Diffie-Hellman key exchange protocol and Hill Cipher
  114. Experimental investigation of generating superheated steam using a parabolic dish with a cylindrical cavity receiver: A case study
  115. Effect of surface roughness on the interface behavior of clayey soils
  116. Investigated of the optical properties for SiO2 by using Lorentz model
  117. Measurements of induced vibrations due to steel pipe pile driving in Al-Fao soil: Effect of partial end closure
  118. Experimental and numerical studies of ballistic resistance of hybrid sandwich composite body armor
  119. Evaluation of clay layer presence on shallow foundation settlement in dry sand under an earthquake
  120. Optimal design of mechanical performances of asphalt mixtures comprising nano-clay additives
  121. Advancing seismic performance: Isolators, TMDs, and multi-level strategies in reinforced concrete buildings
  122. Predicted evaporation in Basrah using artificial neural networks
  123. Energy management system for a small town to enhance quality of life
  124. Numerical study on entropy minimization in pipes with helical airfoil and CuO nanoparticle integration
  125. Equations and methodologies of inlet drainage system discharge coefficients: A review
  126. Thermal buckling analysis for hybrid and composite laminated plate by using new displacement function
  127. Investigation into the mechanical and thermal properties of lightweight mortar using commercial beads or recycled expanded polystyrene
  128. Experimental and theoretical analysis of single-jet column and concrete column using double-jet grouting technique applied at Al-Rashdia site
  129. The impact of incorporating waste materials on the mechanical and physical characteristics of tile adhesive materials
  130. Seismic resilience: Innovations in structural engineering for earthquake-prone areas
  131. Automatic human identification using fingerprint images based on Gabor filter and SIFT features fusion
  132. Performance of GRKM-method for solving classes of ordinary and partial differential equations of sixth-orders
  133. Visible light-boosted photodegradation activity of Ag–AgVO3/Zn0.5Mn0.5Fe2O4 supported heterojunctions for effective degradation of organic contaminates
  134. Production of sustainable concrete with treated cement kiln dust and iron slag waste aggregate
  135. Key effects on the structural behavior of fiber-reinforced lightweight concrete-ribbed slabs: A review
  136. A comparative analysis of the energy dissipation efficiency of various piano key weir types
  137. Special Issue: Transport 2022 - Part II
  138. Variability in road surface temperature in urban road network – A case study making use of mobile measurements
  139. Special Issue: BCEE5-2023
  140. Evaluation of reclaimed asphalt mixtures rejuvenated with waste engine oil to resist rutting deformation
  141. Assessment of potential resistance to moisture damage and fatigue cracks of asphalt mixture modified with ground granulated blast furnace slag
  142. Investigating seismic response in adjacent structures: A study on the impact of buildings’ orientation and distance considering soil–structure interaction
  143. Improvement of porosity of mortar using polyethylene glycol pre-polymer-impregnated mortar
  144. Three-dimensional analysis of steel beam-column bolted connections
  145. Assessment of agricultural drought in Iraq employing Landsat and MODIS imagery
  146. Performance evaluation of grouted porous asphalt concrete
  147. Optimization of local modified metakaolin-based geopolymer concrete by Taguchi method
  148. Effect of waste tire products on some characteristics of roller-compacted concrete
  149. Studying the lateral displacement of retaining wall supporting sandy soil under dynamic loads
  150. Seismic performance evaluation of concrete buttress dram (Dynamic linear analysis)
  151. Behavior of soil reinforced with micropiles
  152. Possibility of production high strength lightweight concrete containing organic waste aggregate and recycled steel fibers
  153. An investigation of self-sensing and mechanical properties of smart engineered cementitious composites reinforced with functional materials
  154. Forecasting changes in precipitation and temperatures of a regional watershed in Northern Iraq using LARS-WG model
  155. Experimental investigation of dynamic soil properties for modeling energy-absorbing layers
  156. Numerical investigation of the effect of longitudinal steel reinforcement ratio on the ductility of concrete beams
  157. An experimental study on the tensile properties of reinforced asphalt pavement
  158. Self-sensing behavior of hot asphalt mixture with steel fiber-based additive
  159. Behavior of ultra-high-performance concrete deep beams reinforced by basalt fibers
  160. Optimizing asphalt binder performance with various PET types
  161. Investigation of the hydraulic characteristics and homogeneity of the microstructure of the air voids in the sustainable rigid pavement
  162. Enhanced biogas production from municipal solid waste via digestion with cow manure: A case study
  163. Special Issue: AESMT-7 - Part I
  164. Preparation and investigation of cobalt nanoparticles by laser ablation: Structure, linear, and nonlinear optical properties
  165. Seismic analysis of RC building with plan irregularity in Baghdad/Iraq to obtain the optimal behavior
  166. The effect of urban environment on large-scale path loss model’s main parameters for mmWave 5G mobile network in Iraq
  167. Formatting a questionnaire for the quality control of river bank roads
  168. Vibration suppression of smart composite beam using model predictive controller
  169. Machine learning-based compressive strength estimation in nanomaterial-modified lightweight concrete
  170. In-depth analysis of critical factors affecting Iraqi construction projects performance
  171. Behavior of container berth structure under the influence of environmental and operational loads
  172. Energy absorption and impact response of ballistic resistance laminate
  173. Effect of water-absorbent polymer balls in internal curing on punching shear behavior of bubble slabs
  174. Effect of surface roughness on interface shear strength parameters of sandy soils
  175. Evaluating the interaction for embedded H-steel section in normal concrete under monotonic and repeated loads
  176. Estimation of the settlement of pile head using ANN and multivariate linear regression based on the results of load transfer method
  177. Enhancing communication: Deep learning for Arabic sign language translation
  178. A review of recent studies of both heat pipe and evaporative cooling in passive heat recovery
  179. Effect of nano-silica on the mechanical properties of LWC
  180. An experimental study of some mechanical properties and absorption for polymer-modified cement mortar modified with superplasticizer
  181. Digital beamforming enhancement with LSTM-based deep learning for millimeter wave transmission
  182. Developing an efficient planning process for heritage buildings maintenance in Iraq
  183. Design and optimization of two-stage controller for three-phase multi-converter/multi-machine electric vehicle
  184. Evaluation of microstructure and mechanical properties of Al1050/Al2O3/Gr composite processed by forming operation ECAP
  185. Calculations of mass stopping power and range of protons in organic compounds (CH3OH, CH2O, and CO2) at energy range of 0.01–1,000 MeV
  186. Investigation of in vitro behavior of composite coating hydroxyapatite-nano silver on 316L stainless steel substrate by electrophoretic technic for biomedical tools
  187. A review: Enhancing tribological properties of journal bearings composite materials
  188. Improvements in the randomness and security of digital currency using the photon sponge hash function through Maiorana–McFarland S-box replacement
  189. Design a new scheme for image security using a deep learning technique of hierarchical parameters
  190. Special Issue: ICES 2023
  191. Comparative geotechnical analysis for ultimate bearing capacity of precast concrete piles using cone resistance measurements
  192. Visualizing sustainable rainwater harvesting: A case study of Karbala Province
  193. Geogrid reinforcement for improving bearing capacity and stability of square foundations
  194. Evaluation of the effluent concentrations of Karbala wastewater treatment plant using reliability analysis
  195. Adsorbent made with inexpensive, local resources
  196. Effect of drain pipes on seepage and slope stability through a zoned earth dam
  197. Sediment accumulation in an 8 inch sewer pipe for a sample of various particles obtained from the streets of Karbala city, Iraq
  198. Special Issue: IETAS 2024 - Part I
  199. Analyzing the impact of transfer learning on explanation accuracy in deep learning-based ECG recognition systems
  200. Effect of scale factor on the dynamic response of frame foundations
  201. Improving multi-object detection and tracking with deep learning, DeepSORT, and frame cancellation techniques
  202. The impact of using prestressed CFRP bars on the development of flexural strength
  203. Assessment of surface hardness and impact strength of denture base resins reinforced with silver–titanium dioxide and silver–zirconium dioxide nanoparticles: In vitro study
  204. A data augmentation approach to enhance breast cancer detection using generative adversarial and artificial neural networks
  205. Modification of the 5D Lorenz chaotic map with fuzzy numbers for video encryption in cloud computing
  206. Special Issue: 51st KKBN - Part I
  207. Evaluation of static bending caused damage of glass-fiber composite structure using terahertz inspection
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