Elastic Parameters Research Articles

Exploring structural, thermodynamic, elastic, electro-optic, and thermoelectric characteristics of double perovskites Rb2XInBr6 (X = Na, K) for photovoltaic applications: A DFT approach

The structural, thermodynamic, elastic, electro-optic, and thermoelectric properties of the emerging double perovskites Rb2XInBr6 (X = Na, K) were investigated. The cubic phase of Rb2KInBr6 and Rb2NaInBr6 wasverified by tolerance factor (τ) values of 0.89 and 0.83, respectively. The negative formation energies and Gibbs free energies of both perovskites demonstrated their thermodynamic stability. The elastic parameters suggested the mechanical stability, brittle character, and anisotropic behavior of both materials. The electronic band gap and density of states calculations confirmed the presence of a direct band gap (Eg) for Rb2KInBr6 and Rb2NaInBr6, having an Eg of 3.2 eV and2.6 eV, respectively. The present research focuses on the investigation of light energy absorption, polarization, refractive index, and optical loss throughout the energyspectrum ranging from zero to 10 eV. The optical parameters were appropriate for photovoltaic systems since the absorption occurs in the ultraviolet range. The thermoelectric characteristics, as measured by the use of the BoltzTraP code, revealed that the maximum ZT values were determined to be 0.73and 0.72, respectively, for both materials. Despite the presence of moderate optical absorption and a ZT value in these materials, it is necessary to investigate efficient techniques for adjusting the electronic band gapto enhance the material's optical and thermoelectric response, therefore making it more suitable for practical applications in energy generation.

The influence of surface effects on axisymmetric vibration of graded porous Mindlin circular nanoplate in a temperature field

AbstractThe surface effect significantly affects the mechanical response of nanoscale materials. In this work, we introduce Gurtin‐Murdoch surface elasticity theory into Mindlin plate theory to study the axisymmetric vibration characteristic of graded porous circular nanoplate in a temperature field. The main structure is a porous graded material with uniform or non‐uniform porosity distribution in its thickness. The numerical shooting technique was applied to solve the governing differential equations derived from Hamilton's principle. Responses for the vibration characteristic of the graded porous nanoplate for both clamped and simply supported boundary conditions were obtained. The numerical results show that when the surface effect is removed, the classical results of Mindlin circular plate will be obtained. Natural frequencies and mode shapes varying with thermal and porosity coefficients were present graphically. And then the effects of surface material properties on the axisymmetric vibration characteristic of the nanoplates were discussed in detail. The parametric study examined the influence of porosity coefficient, porosity distribution mode, surface elastic parameters, and residual surface stress on the vibration characteristics of porous circular nanoplates.

Deriving mineral moduli of the noncarbonate fraction in a marly chalk reservoir using petrophysical logging data and an isoframe model

Knowledge of the elastic properties of clays and clay-rich sediments is essential when performing quantitative seismic interpretation and geomechanical modeling of reservoirs where they are present. Such is the case for the marly chalk reservoirs of Lower Cretaceous age in the Danish North Sea. We develop a new method to derive the elastic properties of the clay-rich insoluble residue (IR) fraction in marly chalks, using petrophysical logs and rock physical modeling. We calculate compressional ( M), shear ( G), and bulk ( K) moduli of the formation along the borehole using the density and sonic (shear and compressional) logs and model the elastic properties of minerals using the isoframe (IF) rock-physics model. In our model, the marly chalk is composed of two materials: calcite, with well-known elastic properties, and the IR fraction, whose elastic properties are the sought variable. We systematically vary the assumed elastic properties of the IR fraction, each time achieving equality between the measured and modeled elastic moduli solving for the IF values of calcite ([Formula: see text]) and IR fraction ([Formula: see text]) for each of the three elastic parameters one at a time, deriving the modeled values for the other two. We add up the error between the modeled and logged values for each set of assumed elastic properties of the IR fraction. We adopt the values of [Formula: see text] and [Formula: see text] that minimize the compound error as the actual elastic properties of the IR fraction. We run the algorithm in the Boje-2C and Valdemar-2H wells in different stratigraphic units of the Lower Cretaceous: the Fanø Formation and the marly chalk of the Tuxen and Sola formations. Elastic properties derived for the IR fraction compare well to data for wet clays from ultrasonic velocity laboratory tests. In a clean chalk section (almost 100% calcite), the model outputs values similar to calcite.

Model Designed to Acquire an Optimized Performance Implementing L27 Orthogonal Array for the Prandtl Fluid Flow Maneuvering Grey Relational Theory

To design a resourceful model, the optimization technique is executed in the present analysis which helps in attaining a theoretical framework of high productivity which assists in minimising the cost and time. The novelty lies in optimising the responses of surface drag and enhanced heat and mass transfer which is so far not reported in the literature. The stretched geometry is contemplated as replicating a polymer sheet, which endorses substantial application in industries with the effects of linear radiation, thermo-diffusion, and diffusion-thermo impacts. The L27 orthogonal array is explained using the Taguchi optimization method to record the signal-to-noise ratio for the response of heat and mass transfer rate individually. Multi-response optimization is carried out using grey relational analysis, producing grey relational grades and respective ranks. Numerical solutions are retained using the Runge-Kutta Fehlberg method. Parametric results revealed that intense radiation contributes to amplifying the rate of heat transfer and having a strong impact on the diffusion-thermo effect. Elevated mass transmission rate can be procured for higher thermophoresis parameters and Soret numbers. On the other hand, the lowest transfer rate of mass is received at a higher value of the Schmidt number. Outcomes of the work showcase that the 22nd experimental run with the curvature parameter at 3.5, Prandtl number at 7.1, Elastic parameter at 3, radiation parameter at 1.6, and thermophoresis parameter at 0.4 is an optimized level for Nusselt number and Sherwood number. Analysis of variance on grey relational grade reveals that curvature parameter has the largest contribution on grey relational grade of about 41.16%, followed by radiation parameter with 38.96% contribution. The least contribution, as stipulated by Prandtl number, is about 2.07%.

Evaluation of Arterial Stiffness in Depression Patients.

It has been known that there is a significant correlation between depression and cardiovascular diseases. However, the reasons behind this correlation that could affect mortality and morbidity were not fully identified. The present study aimed to analyze arterial stiffness diagnosed with ultrasonography, which could be associated with cardiovascular disease risks in depression patients, and to compare the findings with those of healthy controls. The study was conducted with 35 depression patients and 35 healthy individuals. Routine complete blood and biochemistry tests were requested for all patients, and their weight and height, waist circumference, and diastolic and systolic arterial blood pressure were measured. Femoral and carotid artery intima-media thickness and other arterial stiffness parameters were determined with Doppler ultrasonography. It was determined that the systolic pressure (P = .028) was higher in the patient group (P = .028). Also, the carotid elastic modulus (P = .048) was significantly higher in the patient group. A negative and significant correlation was determined between femoral compliance and chlorpromazine equivalent dose (P = .021, r = -0.389). It was determined that the systolic blood pressure and carotid elastic modulus arterial stiffness parameters were significantly higher in depression patients. Measurable arterial stiffness parameters should be investigated in depression patients as cardiovascular risk markers. Furthermore, the determination of the effects of psychotropic drugs employed in arterial stiffness treatment could play an important role in the determination of cardiovascular disease risk in these patients.

Buckling response of functionally graded multilayer graphene platelet-reinforced composite plates with circular/elliptical cutouts supporting on an elastic foundation under normal and shear loads

The present article deals with the buckling response of functionally graded multilayer graphene platelet-reinforced composite (FG-GPL RC) rectangular plates with circular/elliptical cutouts resting on a Winkler-type elastic foundation under uniaxial and biaxial normal and shear loads. Rule of mixtures and the Halpin–Tsai approach are applied to obtain the effective Poisson’s ratio, mass density, and elastic modulus of the reinforced composite. The governing equations are developed by applying the third-order shear deformation plate theory. Then, the finite element procedure is used to solve the problem. Four different types of graphene platelet distributions, namely, UD, FG-X, FG-V, and FG-O, are considered. A broad range of factors such as plate aspect ratio, plate slenderness ratio, applying uniaxial and biaxial normal and shear loads to the plate, several Winkler elastic foundation stiffness parameters, different displacement boundary conditions, the effect of size of the circular cutout and orientation of the elliptical cutout, and the influence of GPL weight fraction are discussed in several tabular and graphical data in detail.

Correlation between plant cell wall stiffening and root extension arrest phenotype in the combined abiotic stress of Fe and Al.

The plasticity and growth of plant cell walls (CWs) remain poorly understood at the molecular level. In this work, we used atomic force microscopy (AFM) to observe elastic responses of the root transition zone of 4-day-old Arabidopsis thaliana wild-type and almt1-mutant seedlings grown under Fe or Al stresses. Elastic parameters were deduced from force-distance curve measurements using the trimechanic-3PCS framework. The presence of single metal species Fe2+ or Al3+ at 10 µM exerts no noticeable effect on the root growth compared with the control conditions. On the contrary, a mix of both the metal ions produced a strong root-extension arrest concomitant with significant increase of CW stiffness. Raising the concentration of either Fe2+ or Al3+ to 20 µM, no root-extension arrest was observed; nevertheless, an increase in root stiffness occurred. In the presence of both the metal ions at 10 µM, root-extension arrest was not observed in the almt1 mutant, which substantially abolishes the ability to exude malate. Our results indicate that the combination of Fe2+ and Al3+ with exuded malate is crucial for both CW stiffening and root-extension arrest. However, stiffness increase induced by single Fe2+ or Al3+ is not sufficient for arresting root growth in our experimental conditions.

Fluid Identification Method of Nuclear Magnetic Resonance and Array Acoustic Logging for Complex Oil and Water Layers in Tight Sandstone Reservoir

In order to improve the logging interpretation accuracy for complex oil and water layers developed in tight sandstone reservoirs, this study takes the Chang 8 member of the Yanchang Formation in the Huanxian area as the research object, and two new fluid identification methods were constructed based on nuclear magnetic resonance (NMR) logging and array acoustic logging. Firstly, the reservoir characteristics of physical properties and conductivity were studied in the research area, and the limitations of conventional logging methods in identifying complex oil and water layers were clarified. Then, the sensitive parameters for identifying different pore fluids were established by analyzing the relationship between NMR logging and array acoustic logging with different pore fluids. On this basis, the fluid identification plate, composed of movable fluid apparent diffusion coefficient and effective porosity difference (Da-Δφe) by NMR logging data of D9TWE3 observation mode, and the other fluid identification plate, composed of apparent bulk modulus of pore fluid and elastic parameter sensitive factor (Kf-Fac), were constructed, respectively. Finally, these two fluid identification methods were used for reservoir interpretation of actual logging data. This study shows that the two new fluid identification methods constructed by NMR logging and array acoustic logging can effectively eliminate the interference of rock skeleton on logging interpretation, which make them more effective in identifying complex oil and water layers than the conventional logging method. Additionally, the two methods have their own advantages and disadvantages when used separately for interpreting complex oil and water layers, and the comprehensive interpretation of the two methods provides a technical development direction for further improving the accuracy of logging the interpretation of complex oil and water layers.

Regional evaluation method of ground stress in shale oil reservoirs-taking the Triassic Yanchang formation in northern Shaanxi area as an example

Estimating in-situ stress in shale oil reservoirs is critical for predicting hydraulic fracture height. However, the varied longitudinal lithology and transverse isotropy challenge the regional evaluation of ground stress. A new method based on the Kaiser effect method and the Sn Model was proposed to evaluate regional ground stress from point to point. Kaiser tests obtained the regional tectonic stress coefficients. Combined with the dynamic and static transformation of elastic parameters, the Sn ground stress calculation model suitable for the Northern Shaanxi Area was constructed. According to the calculation results of ground stress in the Chang 7 section of 600 wells in this region, the plane distribution maps of maximum horizontal ground stress (SH) and the difference between SH and Minimum horizontal stress (Sh) were drawn. It was found that the SH in this area was between 20 and 60 MPa, and the So was between 2.6 and 8.8 MPa. Compared with the 3D finite element method simulation results, the forward modeling results coincided well with the inversion results in this research. The causes of the plane distribution of ground stress in the Chang 7 section were explained by regional tectonic stress and paleo topography. It was found that the movement of plate and shell and deposition were critical factors of regional ground stress distribution. The research results provide a reference for further integration of geologic and engineering in evaluating shale oil reservoirs.

Single-test evaluation of directional elastic properties of anisotropic structured materials

When the elastic properties of structured materials become direction-dependent, the number of their descriptors increases. For example, in two-dimensions, the anisotropic behavior of materials is described by up to 6 independent elastic stiffness parameters, as opposed to only 2 needed for isotropic materials. Such high number of parameters expands the design space of structured materials and leads to unusual phenomena, such as materials that can shear under uniaxial compression. However, an increased number of properties descriptors and the coupling between shear and normal deformations render the experimental evaluation of material properties more challenging. In this paper, we propose a methodology based on the virtual fields method to identify six separate stiffness tensor parameters of two-dimensional anisotropic structured materials using just one tension test, thus eliminating the need for multiple experiments, as it is typical in traditional methods. The approach requires no stress data and uses full-field displacement data and global force data. We show the accuracy of our method using synthetic data generated from finite element simulations as well as experimental data from additively manufactured specimens.

Stress Intensity Factors for Pressurized Pipes with an Internal Crack: The Prediction Model Based on an Artificial Neural Network

During pipeline operation, internal cracks may occur. The severity around the crack tip can be quantified by the stress intensity factor (KI), which is a linear–elastic fracture mechanics parameter. For pressurized pipes featuring infinitely long internal surface cracks, KI can be interpolated from a function considering pressure, geometry, and crack size, as presented in API 579-1/ASME FFS-1. To enhance KI prediction accuracy, an artificial neural network (ANN) model was developed for such pressurized pipes. Predictions from the ANN model and API 579-1/ASME FFS-1 were compared with precise finite element analysis (FEA). The ANN model with an eight-neuron sub-layer outperformed others, displaying the lowest mean squared error (MSE) and minimal validation discrepancies. Nonlinear validation data improved both MSE and testing performance compared to uniform validation. The ANN model accurately predicted normalized KI, with differences of 2.2% or lower when compared to FEA results. Conversely, API 579-1/ASME FFS-1′s bilinear interpolation predicted inaccurately, exhibiting disparities of up to 4.3% within the linear zone and 24% within the nonlinearity zone. Additionally, the ANN model effectively forecasted the critical crack size (aC), differing by 0.59% from FEA, while API 579-1/ASME FFS-1′s bilinear interpolation underestimated aC by 4.13%. In summary, the developed ANN model offers accurate forecasts of normalized KI and critical crack size for pressurized pipes, providing valuable insights for structural assessments in critical engineering applications.

Fracture Toughness Testing of Brittle Laminated Geomaterials Using Hollow Double-Wing Slotted Specimens.

The fracture toughness of shale is a key parameter guiding hydraulic fracturing design and optimization. The hollow double-wing slotted (HDWS) specimen is a typical specimen configuration for measuring the mode I fracture toughness of rock. The calibration of the shape factor (f) is the basis for accurately obtaining the fracture toughness of rocks. In this study, the influences of crack length, hole size, and the anisotropy of elastic parameters on f for specimens with three typical bedding orientations-arrester (A), divider (D), and short-transverse (ST) orientations-are systematically investigated using finite element software. The numerical simulation results support the following findings. The mode I f increases monotonically with an increase in hole size. The influence of crack length on f varies depending on hole sizes. Under different bedding orientations, significant anisotropy in f was observed. In addition, the degree of anisotropy in Young's modulus has a major impact on f, which is related to the bedding orientation of the specimen. The apparent shear modulus ratio has relatively little influence on f. As the hole size and crack length increase, the influence of the anisotropy of elastic parameters on f increases. Based on numerical calculations, hydraulic fracturing experiments were conducted on HDWS specimens of Longmaxi shale with three bedding orientations, and the results showed that the peak pressure and fracture toughness of the samples in the ST direction were the lowest, while those in the A direction were the highest.

Nanostructured Ni0.8Co0.2MnxFe2-xO4 ferrites: Structural, elastic, optical, and electromagnetic properties

Nanostructured Ni0.8Co0.2MnxFe2-xO4 (x = 0.05 and 0.1) ferrites were synthesized via a solution combustion method in a citric acid matrix. The structure, elastic, optical, electrical, dielectric, and magnetic characteristics of these ferrites were analyzed by x-ray diffraction (XRD), Furrier transform infrared (FTIR) spectroscopy, ultraviolent visible (UV–vis) spectroscopy, impedance spectroscopy (IS), and vibrational sampling magnetometer (VSM) techniques. The lattice parameter, crystallite size, hopping length, bond length, cation distribution, elastic parameters, and many others of the ferrites were evaluated using XRD and FTIR data. Well-crystallized single-phase cubic spinel-structured ferrites with the composition of Ni0.8Co0.2MnxFe2-xO4 were produced. The mechanical stability conditions of both ferrites were revealed by the study of their elastic properties. Both ferrites displayed optical activity across the ultraviolet and visible regions, spanning from 300 to 550 nm. The absorption spectra also exhibited peaks at 440 and 460 nm, and a blue shift was observed when Mn3+ content varied from x = 0.05 to x = 0.1. The electrical conductivity was found to be 1.64 × 10−7 S/cm for x = 0.05 and 1.68 × 10−7 S/cm for x = 0.1, and both ferrites exhibited a polaron hopping conduction behavior. The room temperature VSM measurement revealed the ferromagnetic behavior in both of the tested specimens. Higher values of saturation magnetization (60.3 emu/g) and magnetic number nB (2.53 μB) were observed for x = 0.05 ferrite.

Stochastic modeling of spatially-dependent elastoplastic parameters in 316L stainless steel produced by direct energy deposition

The stochastic modeling and calibration of an anisotropic elasto-plastic model for additive manufacturing materials are addressed in this work. We specifically focus on 316L stainless steel, produced by directed energy deposition. Tensile specimens machined from two additive manufactured (AM) box-structures were used to characterize material anisotropy and random spatial variations in elasticity and plasticity material parameters. Tensile specimens were cut parallel (horizontal) and perpendicular (vertical) to the AM deposition plane and were indexed by location. These results show substantial variability in both regimes, with fluctuation levels that differ between specimens loaded in the parallel and perpendicular build directions. Stochastic representations for the stiffness and Hill’s criterion coefficients random fields are presented next. Information-theoretic models are derived within the class of translation random fields, with the aim of promoting identifiability with limited data. The approach allows for the constitutive models to be generated on arbitrary geometries, using the so-called stochastic partial differential approach (to sampling). These representations are then partially calibrated using the aforementioned experimental results, hence enabling subsequent propagation analyses. Sampling is finally exemplified on the considered structure.

Temperature dependence of the mechanical properties of Heusler [formula omitted] and [formula omitted] using the Quasi-Harmonic Approximation

The study of electronic properties of Fe2TiSi and Fe2TiSn using two functionals GGA and meta-GGA confirms the semiconductor nature of these alloys. This result enables us to compute elastic constants within Quasi-Harmonic Approximation without considering the electronic contribution. These elastic parameters decreased as the temperature increased with respect to the mechanical stability criteria of Born. Poisson’s and Pugh’s ratios indicate that both alloys have ionic bonding and are brittle. From the Vicker’s Hardness values, both alloys are found to be hard. Finally, we found that the mechanical properties of Fe2TiSi are more sensitive to temperature changes than those of Fe2TiSn; however, the former is harder than the latter over the temperature range of 0K to 1000K. The good mechanical properties make Fe2TiSi and Fe2TiSn a good solution for use as thermoelectric generators and waste heat recovery.

Impact of viscous and ohmic dissipations on a chemically reactive Darcy–Forchheimer Prandtl nanofluid flow with multiple slips: Non-similar analysis

The present analysis aims to compute the non-similar solution of a chemically reactive Prandtl nanofluid across an elongated surface in a permeable medium, with a uniform magnetic field applied perpendicular to the surface. The Buongiorno model is used to study the random motion and thermophoresis of the nanoliquid by considering factors such as viscous dissipation, Joule heating, and multiple slips. By using appropriate transformations and a non-similarity approach, the governing flow equations are scaled down to the second level and numerically analyzed using the MATLAB bvp4c algorithm. The profound effects of the dimensionless parameters are illustrated graphically for the velocity, temperature, and solutal profiles. The impact of drag force, thermal, and solutal transmission at the interface of the deformable sheet are inspected in tabulated form. The results of this study revealed that higher Prandtl and elastic parameters lead to an increase in fluid velocity but a rise in thermal slip parameter results in the opposite behavior. An increase in Hartmann number and porosity parameters upsurges drag force, whereas an increase in the slip parameter reduces it. The research is validated by comparing it to previous studies, and a strong correlation is observed. It is examined that the percentage (%) error with both comparative papers is between −0.0017181 and 0.0006.377 which is almost negligible. Thus, confirming the reliability and precision of the formulated problem.

A continuous and long-term in-situ stress measuring method based on fiber optic. Part I: Theory of inverse differential strain analysis

A method for in-situ stress measurement via fiber optics was proposed. The method utilizes the relationship between rock mass elastic parameters and in-situ stress. The approach offers the advantage of long-term stress measurements with high spatial resolution and frequency, significantly enhancing the ability to measure in-situ stress. The sensing casing, spirally wrapped with fiber optic, is cemented into the formation to establish a formation sensing nerve. Injecting fluid into the casing generates strain disturbance, establishing the relationship between rock mass properties and treatment pressure. Moreover, an optimization algorithm is established to invert the elastic parameters of formation via fiber optic strains. In the first part of this paper series, we established the theoretical basis for the inverse differential strain analysis method for in-situ stress measurement, which was subsequently verified using an analytical model. This paper is the fundamental basis for the inverse differential strain analysis method.

Surface effects and symmetry lowering effect on the anisotropic bending and equilibrium of freestanding nanofilms

A self-consistent theory for describing self bending, self equilibrium and symmetry lowering of nanofilms was proposed in this paper. The lowered symmetry and corresponding additional elastic parameter were considered to describe the mechanical properties of nanofilms. A freestanding nanofilm may spontaneously roll into a nanotube due to intrinsic surface stress imbalance. It is not necessarily isotropic for surface stress. The anisotropic surface stress is possible, Si nanofilm with (001) surface may behave (2 × 1) reconstruction, for example. The anisotropic surface stress induces anisotropic bending. And then, the isotropic Stoney formular should be modified to suit the anisotropic surface stress effect. A theory for anisotropic bending should be established. On the other hand, intrinsic surface stress balance induces uniform in-plane deformation of nanofilms. The theory in this paper was used to predict equilibrium strains of Cu, Ni, Ag, Au, Pd and Pt nanofilms, and was used to research Si nanofilm rolling behavior.

Material characterization and inter/intra-particle validation for DEM simulation of urea coating process

Particle coating is a common operation in the controlled-release fertilizer (CRF) industry, where a coating layer is appliedto the urea cores. A discrete element method (DEM) computer simulation was applied to model the coating process for the urea granules using measured model parameters. The accuracy of DEM input parameters for the coating material properties and the physical and mechanical characterizations of urea granules are crucial to the study of particle coating processes. Thus, to enhance the simulation accuracy, information on the material properties (urea granules) is required. In this study, the elasticity parameters, shear modulus, coefficient of restitution (CoR), and coefficient of rolling and static friction (CoRF) and (CoSF) of urea granules are estimated experimentally in addition to the physical characteristics. The sensitivity of the angle of repose of the urea bed was investigated at different coefficients of friction. According to the obtained experimental value of the angle of repose, values of 0.2 and 0.3 for CoRF and CoSF, respectively, were adjusted to obtain consistent urea granules’ motion for simulation and the experiment. Moreover, the spray droplet sizes and velocity distributions were estimated using the video-imaging process technique. Based on this experimental characterization, elasticity parameters and spray properties were integrated into DEM simulation software as input data to perform numerical analysis of the coating process to compare simulation and experimental results, which show uniformity at three different pan speeds with a maximum deviation of 0.033 at 5 rpm. Also, consistency between DEM and experiment results was achieved in terms of average coating thickness (μm) of the selected samples and average intra-particle thickness variation (CoVintra). These results revealed that the coating film thickness is proportional to the rotation speed for the experiment and simulation. To enhance the inter-particle coating uniformity, the effects of the most significant parameters such as pan speed, filling ratio, particle size, spray rate, and spray angle, were examined. A low spray rate, filling ratio, and high pan speed improved the coating uniformity. The particle size and spray angle show considerable influence on the coating uniformity, where larger particle sizes and spray angles tend to reduce the inter-particle coating uniformity.

A promising optoelectronic and thermoelectric response of full Heusler Na2TlX (X = Bi, Sb) alloys: a DFT approach

The energy conversion efficiency is one of the attributes that make Heusler alloys an extraordinary candidate for thermoelectric applications. In this paper, we have examined the electronic structure, elastic, optical and transport characteristics of full Heusler Na2TlX (X = Bi, Sb) alloys using DFT. The electronic properties are analyzed by utilizing modified Becke Johnson (mBJ) potential. The negative formation energies and optimization results reveal the stable phases of both alloys. The electronic properties exposed the semiconductor nature of both alloys. The elastic stability is obtained from various elastic parameters. The optical response of these alloys has been studied in depth by evaluating the real and imaginary dielectric functions, optical loss, refractive index and absorption coefficient. Furthermore, the thermoelectric properties are computed, which demonstrate the high electrical conductivity, Seebeck and ZT values for both alloys. The above computed attributes favor the use of studied alloys in green energy and optoelectronic applications.