Tetrahedral Shape Research Articles

Pickering Emulsions Stabilized with Millimeter-Sized Polymer Plates.

Hexagonal polymer plates of (sub)millimeter size that were uniform in shape and size were used as a stabilizer for emulsions, and the correlations of plate size, oil polarity, and plate dispersing media before emulsification with the formability, type, and droplet shape of emulsions were studied. The formability of the emulsions was improved by decreasing the plate size. The lower the oil polarity was, the more preferably O/W-type emulsions were formed, and as the oil polarity increased, the formability of W/O-type emulsions increased, whereas too high of an oil polarity resulted in no emulsion formation or macrophase separation of the oil dispersion of the plates and water. Furthermore, when the plate dispersing medium before emulsification was oil, the plates tended to be lipophilic compared with those dispersed in water before emulsification. In addition, we confirmed that there was a correlation between the droplet/stabilizer size ratio and droplet shape: when the droplet/plate size ratios are >2, droplets with near-spherical shapes are formed; when the size ratios are between 1 and 2, droplets with polyhedral shapes (e.g., hexahedral and tetrahedral shapes) are formed; and when the size ratios are <1, sandwich-shaped droplets are formed. Droplets with similar structures tended to form if the droplet/plate size ratios were close, even though the sizes of the plate and droplet were different.

Tetrahedral shape and Lambda impurity effect in $^{80}$Zr with a multidimensionally constrained relativistic Hartree-Bogoliubov model

Abstract This study investigates the tetrahedral structure in $^{80}$Zr and Lambda ($\Lambda$) impurity effect in $^{81}_{~\Lambda}$Zr using the multidimensionally constrained relativistic Hartree-Bogoliubov model.&amp;#xD; The ground states of both $^{80}$Zr and $^{81}_{~\Lambda}$Zr exhibit a tetrahedral configuration, accompanied by prolate and axial-octupole shape isomers. &amp;#xD; Our calculations reveal there are changes in the deformation parameters $\beta_{20}$, $\beta_{30}$ and $\beta_{32}$ upon $\Lambda$ binding to $^{80}$Zr, except for $\beta_{32}$ when $\Lambda$ occupies $p$-orbits. &amp;#xD; Compared to the two shape isomers, the $\Lambda$ particle exhibits weaker binding energy in the tetrahedral state when occupying the $1/2^+[000](\Lambda_s)$ or $1/2^-[110]$ single-particle states. In contrast, the strongest binding occurs for the $\Lambda$ particle in the $1/2^-[101]$ state with tetrahedral shape. A large $\Lambda$ separation energy may not necessarily correlate with a significant overlap between the density distributions of the $\Lambda$ particle and the nuclear core, particularly for tetrahedral hypernuclei.

Re-Envisioning the Plant Disease Triangle: Full Integration of the Host Microbiota and a Focal Pivot to Health Outcomes.

The disease triangle is a structurally simple but conceptually rich model that is used in plant pathology and other fields of study to explain infectious disease as an outcome of the three-way relationship between a host, a pathogen, and their environment. It also serves as a guide for finding solutions to treat, predict, and prevent such diseases. With the omics-driven, evidence-based realization that the abundance and activity of a pathogen are impacted by proximity to and interaction with a diverse multitude of other microorganisms colonizing the same host, the disease triangle evolved into a tetrahedron shape, which features an added fourth dimension representing the host-associated microbiota. Another variant of the disease triangle emerged from the recently formulated pathobiome paradigm, which deviates from the classical "one pathogen" etiology of infectious disease in favor of a scenario in which disease represents a conditional outcome of complex interactions between and among a host, its microbiota (including microbes with pathogenic potential), and the environment. The result is a version of the original disease triangle where "pathogen" is substituted with "microbiota." Here, as part of a careful and concise review of the origin, history, and usage of the disease triangle, I propose a next step in its evolution, which is to replace the word "disease" in the center of the host-microbiota-environment triad with the word "health." This triangle highlights health as a desirable outcome (rather than disease as an unwanted state) and as an emergent property of host-microbiota-environment interactions. Applied to the discipline of plant pathology, the health triangle offers an expanded range of targets and approaches for the diagnosis, prediction, restoration, and maintenance of plant health outcomes. Its applications are not restricted to infectious diseases only, and its underlying framework is more inclusive of all microbial contributions to plant well-being, including those by mycorrhizal fungi and nitrogen-fixing bacteria, for which there never was a proper place in the plant disease triangle. The plant health triangle also may have an edge as an education and communication tool to convey and stress the importance of healthy plants and their associated microbiota to a broader public and stakeholdership.

Enhancing LES efficacy in wind load evaluation of low-rise buildings using synthesized inflow turbulence

In Large-Eddy Simulation (LES), the turbulence inflow can be generated synthetically, where the input value of the maximum turbulence frequency can impact the accuracy. LES efficacy can be influenced by the designated computational domain (CD) size and grid specifications. This study proposes multiple parametric studies that aim to correlate the effective parameters controlling the accuracy of numerical wind load evaluation on a low-rise building without compromising the computational cost. The study includes the efficient selection of turbulence maximum frequency (fmax) that can accurately capture the pressure fluctuation induced on the building facade. Both CD size, which involves the distances from the building to the boundary condition, and CD discretization in terms of grid size scheme and shape, are examined. The error assessment is conducted by comparing wind flow aerodynamics and evaluating the RMSE for the pressure parameters with respect to the wind tunnel test. The findings of this study suggest using fmax which can be resolved by the minimum grid size as an input in the inflow turbulence generated to accurately transport the majority of eddies when a satisfactory wavelength of 4 Δx is utilized. This study shows that computational domain size and discretization can be significant sources of error that can reach 21 %, compromising the reliability of computational wind load predictions. The current code in selecting computational minimum width and length is found to be insufficient. In addition, it is found that there are currently no recommendations for selecting the width computational dimension specifications when examining low-rise buildings oriented in an oblique wind direction. The domain grid specification induced a considerable error of 14 % in the mean pressure across the roof when tetrahedral grid shapes were used. Overall, this study's proposed recommendations can significantly impact the efficacy of computational wind load evaluation for low-rise building geometry.

Optimal three-dimensional particle shapes for maximally dense saturated packing

Saturated packing is a random packing state of particles widely applied in investigating the physicochemical properties of granular materials. Optimizing particle shape to maximize packing density is a crucial challenge in saturated packing research. The known optimal three-dimensional shape is an ellipsoid with a saturated packing density of 0.437 72(51). In this work, we generate saturated packings of three-dimensional asymmetric shapes, including spherocylinders, cones, and tetrahedra, via the random sequential adsorption algorithm and investigate their packing properties. Results show that the optimal shape of asymmetric spherocylinders gives the maximum density of 0.4338(9), while cones achieve a higher value of 0.4398(10). Interestingly, tetrahedra exhibit two distinct optimal shapes with significantly high densities of 0.4789(19) and 0.4769(18), which surpass all previous results in saturated packing. The study of adsorption kinetics reveals that the two optimal shapes of tetrahedra demonstrate notably higher degrees of freedom and faster growth rates of the particle number. The analysis of packing structures via the density pair-correlation function shows that the two optimal shapes of tetrahedra possess faster transitions from local to global packing densities.

Hybrid positioning algorithm based on least squares and LM for 3D cluster networks

This paper proposes a hybrid positioning algorithm, LS-LM, based on least squares (LS) and Levenberg–Marquardt (LM) for position estimation of low-cost and miniaturized unmanned cluster networks in the absence of GPS. The LS method is first used to obtain an initial solution of position estimation, and the LM algorithm to iteratively refine the solution. The LS-LM algorithm has the advantages of simple computation, no complicated communication, and full distribution. It has high accuracy in the coordinated positioning algorithm without coordinate matching. In evaluating its efficacy,we have compared the root mean square error of the LS-LM algorithm to that of the LS method, tetrahedron shape measurement (TSM) algorithm and improved trilateration localization method with minimum uncertainty propagation and optimized selection of anchor nodes (ITL-MEPOSA) method. The simulation results demonstrate a varying degree of reduction in error with the application of the LS-LM algorithm.

Structural and electrochemical properties of a Cu(I) Schiff-base complex: Catalytic application to the synthesis of tetrahydropyrimidine derivatives

Herein, we report the synthesis and spectroanalytical characterization of one-dimensional polymeric Cu(I) complex [Cu(L2Br)I]n, incorporating N,N′-bis(2-bromobenzylidene)ethane-1,2-diamine Schiff base ligand, L2Br. Single crystal X-ray diffraction (SC-XRD) was used to examine the specific organization of atoms in thecomplex. The results showed that the Cu ion was coordinated only throughthe N donor sitesof the Schiff base. The complex’s tetrahedral shape was distorted, as demonstrated by the bond angles around the metal atom. The natural bond orbital and atoms in molecules investigations were also carried out in order to gain greater knowledge of the Cu(I) complex’s intermolecular charge transfer characteristics. The redox nature of the the complex was assessed by the cyclic voltammetry (CV) technique. The Cu(I)/Cu(II) redox arrangement has been observed to exhibit characteristics consistent with a quasi-reversible method. Furthermore, the catalytic activity of the Cu(I) complex was executed in the first-time synthesis of new tetrahydropyrimidine derivatives by treating various aryl nitriles with 2,2-dimethyl-1,3-propanediamine under conventional thermal conditions. A mechanism for the catalytic reaction was suggested and investigated by density functional theory (DFT).

MODIFICATION OF PINDIGA BENTONITE CLAY WITH DIDODECYLDIMETHYLAMMONIUM BROMIDES SURFACTANT FOR FOUNDRY USE

Bentonite clay from Pindiga, Gombe State, Nigeria, was surface modified with didodecyldimethylammonium bromides (DDAB) by the Base Exchange (cation exchange capacity) method for its possible use in foundries. The surfaces of the unmodified and modified Pindiga bentonite clay were characterised by means of spectroscopic, diffraction, and scanning methods (X-Ray fluorescence spectrometry (XRF)Fourier-transformed infrared spectroscopy (FTIR), X-ray diffraction (XRD), and scanning electron microscopy (SEM).XRF showed that unmodified sample was rich of montmorillonite (MMt) with ca +2 as exchangeable cation, FTIR analysis revealed that unmodified water absorption causes stretching and bending vibrations for hydroxyl groups, with the most intense bands in the low-frequency region, while DDAB organo-bentonites showed slight changes in wave bands, with a strong methyl band and a weak methyl band indicative of long-chain linear aliphatic structure. The basal spacing of the unmodified bentonite sample was 1.52 nm, and after modification with DDAB, it improved to 2.1 nm as determined from the X-ray diffraction (XRD) analysis. Results of the SEM images revealed rougher surfaces with uniformly dispersed small particles of grain-like structures characteristic of the unmodified, while theorgano-modified bentoniterevealed clusters of different sizes and shapes, larger Fe 3+ ions replacing smaller Al 3+ ions at octahedral sites, discontinuous layers enveloping large grains, polygonal growth foams with octahedral and tetrahedral shapes, mixed layers of calcium bentonite, and particle sizes less than 200nm. The study concluded that modified bentonite with didodecyldimethylammonium bromides gives good microstructure, increases rigidity, and improve thermal stability, to the organoclays. Therefore, it is recommended that DDAB bentonite be used as binder for foundries.

Guanine Metal Complexes: Spectroscopic Studies, Dying Performance and as Indicator

Azo dyes are the most common and widely used dyes, accounting for more than half of each year's dyes. In this work, a complete description of a new innovative series of compounds with the elements [Ag (I), Zn (II)] generated from the guanine azo dye ligand (GAB) 8-[1-(3-carboxy) azo] guanine has been studied. The structural formula was studied using several physicochemical analyses and spectroscopic techniques (FT-IR spectra, UV-Vis). The FTIR spectrum of the ligand (GAB) was compared to the spectra of the metal ion complexes formed to determine its identity. Chelating caused some changes in the spectra of the complexes to appear to demonstrate that they could be linked to the ligand. The complexes have a tetrahedral geometry shape, the ligand functions as a bidentate ligand, and thermogravimetric analysis (TGA) is used to measure the thermal stability of compounds. The findings and equation presented by the analytical data seemed to be in good accord with the conclusions of the thermogravimetric investigation, which demonstrated that the disintegration of the ligand (GAB) and its complexes occur in multiple steps. The configuration that follows weakens thermal stability: GAB(35.52%)&gt;[Ag(GAB)(H2O)2]NO3.2H2O(34.6%)&gt;[Zn(GAB)Cl2].H2O(31.54%), and the complexes have tetrahedral geometry shape. Furthermore, elemental analysis, mole ratio, and the mole ratio of each complex (1:1) (M:L). The ligand was effective as an acid-base indicator when the pH changed; they exhibited a striking color change, similar to how the ligand (GAB) and its complexes can be used to dye wool textiles due to their wide range of colors. It investigated how well the ligand (GAB) and its complex worked as a wool dye. The ligand GAB and its metal complexes were used to color most of the protein filaments in wool fiber, which have a complex structure with amino and carboxyl groups and colors ranging from orange to green.

Shearing Liquid-Crystalline MXene into Lamellar Membranes with Super-Aligned Nanochannels for Ion Sieving.

Ion-selective membranes are crucial in various chemical and physiological processes. Numerous studies have demonstrated progress in separating monovalent/multivalent ions, but efficient monovalent/monovalent ion sieving remains a great challenge due to their same valence and similar radii. Here, this work reports a two-dimensional (2D) MXene membrane with super-aligned slit-shaped nanochannels with ultrahigh monovalent ion selectivity. The MXene membrane is prepared by applying shear forces to a liquid-crystalline (LC) MXene dispersion, which is conducive to the highly-ordered stacking of the MXene nanosheets. The obtained LC MXene membrane (LCMM) exhibits ultrahigh selectivities toward Li+ /Na+ , Li+ /K+ , and Li+ /Rb+ separation (≈45, ≈49, and ≈59), combined with a fast Li+ transport with a permeation rate of ≈0.35 mol m-2 h-1 , outperforming the state-of-the-art membranes. Theoretical calculations indicate that in MXene nanochannels, the hydrated Li+ with a tetrahedral shape has the smallest diameter among the monovalent ions, contributing to the highest mobility. Besides, the weakest interaction is found between hydrated Li+ and MXene channels which also contributes to the ultrafast permeation of Li+ through the super-aligned MXene channels. This work demonstrates the capability of MXene membranes in monovalent ion separation, which also provides a facile and general strategy to fabricate lamellar membranes in a large scale.

Phospha-cyanines in Their Ideal Polymethine State: Synthesis and Structure-Property Relationships.

We report the synthesis and full characterization of a family of phosphorus-containing polymethine cyanines (phospha-cyanines). The compounds are easily prepared in two steps, starting from readily available phosphanes. The impact of the P-substituents and the counterions on the structural and optical properties is investigated through a joint experimental/theoretical approach. Based on the study of the single-crystal X-ray diffraction structures, all phospha-cyanines present a bond length alternation close to zero, independently of the substituents and counterions, which indicates an ideal polymethine state. All these compounds display the typical cyanine-like UV-vis absorption with an intense and sharp transition with a vibronic shoulder despite possessing a reverse electronic configuration compared to "classical" cyanines. Time-dependent density-functional theory calculations allowed us to fully rationalize the optical properties (absorption/emission wavelengths, luminescence quantum yields). Interestingly, due to the tetrahedral shape of the P atom, the optical properties are independent of the counterion, which is in marked contrast with N-analogues, which enables predictive engineering of the phospha-cyanines regardless of the medium in which they are used.

A highlightedly improved method for isolating and characterizing calcium oxalate crystals from tubercles of Mammillaria schumannii

BackgroundCalcium oxalate (CaOx) is the most prevalent and widespread biomineral in plants and is involved in protective and/or defensive functions against abiotic stress factors. It is, however, expected that this function has an extremely significant contribution to growth processes in plants bearing large amounts of CaOx, such as cacti growing in desert environment.ResultsIn our research, small-sized CaOx crystals (≤ 20 µm) with tetrahedral or spherical shapes were observed to dominate in each epidermal and cortical cell from the tubercles of Mammillaria schumannii, a species from the Cereoideae subfamily, having tubercles (main photosynthetic organs) united with adjacent ones almost into ridges on its stem. Because they have potential significant functions, differential centrifugations after mechanical blending were used to obtain these small-sized CaOx crystals, which extremely tend to adhere to tissue or suspend in solution. And then the combined Scanning Electron Microscope Energy Dispersive System (SEM–EDS) and Raman spectroscopy were further performed to demonstrate that the extracted crystals were mainly CaC2O4·2H2O. Interestingly, spherical druses had 2 obvious abnormal Raman spectroscopy peaks of -CH and -OH at 2947 and 3290 cm−1, respectively, which may be attributed to the occluded organic matrix. The organic matrix was further extracted from spherical crystals, which could be polysaccharide, flavone, or lipid compounds on the basis of Raman spectroscopy bands at 2650, 2720, 2770, and 2958 cm−1.ConclusionsHere we used a highlightedly improved method to effectively isolate small-sized CaOx crystals dominating in the epidermal and cortical cells from tubercles of Mammillaria schumannii, which extremely tended to adhere plant tissues or suspend in isolation solution. And then we further clarified the organic matrix getting involved in the formation of CaOx crystals. This improved method for isolating and characterizing biomineral crystals can be helpful to understand how CaOx crystals in cacti function against harsh environments such as strong light, high and cold temperature, and aridity.

Potential utilization of sugarcane bagasse ash in cementitious composites for developing inorganic binder

The sugar industry uses raw bagasse to generate electricity and subsequently produces tonnes of bagasse ash annually. This bagasse ash is dumped into a landfill, causing an adverse effect on the ecosystem. Sugarcane Bagasse Ash (SCBA) has gained widespread acclaim due to its sustainability and ease of use as a Supplementary Cementitious Material (SCM). SCM has been successfully used in concrete structures, but they are rarely used for the rehabilitation of concrete structures. This investigation's primary goal is to evaluate the mechanical strength of cement mortar which contains Sugarcane Bagasse Ash and Silica Fume (SF), to serve as an inorganic binder for the fabric-reinforced cementitious matrix (FRCM). Analysis using X-ray diffraction (XRD) and X-ray fluorescence (XRF) revealed the existence of amorphous and crystalline phases with silicon dioxide, which was identified as making up more than 70% of the sample. The scanning Electron microscopic (SEM) examination divulges the appearance of fibrous and tetrahedral shape in SCBA, which signify the presence of quartz mineral. The cement mortar was prepared by partially substituting cement with SCBA in a ratio ranging from 0% to 30% by weight and silica fume (SF) at a rate of 5% and 10%. Mechanical strength tests results exhibit that after 28 days of curing, the strength of cement mortar containing 10% SCBA and 10% SF was increased by 2.65% and 5.73%, respectively. A regression analysis was performed to derive a mathematical expression for the prediction of mechanical properties of mortar. This expression provides a high correlation to predict the strength with different mix proportion ratio.

Optimization and design analysis of 2-kW induction motor shaft by using Finite Element Analysis

The shaft is a very critical part of a 2-kW induction motor due to its function to support other vital components, such as the rotor, bearing, and casing. Finite Element Analysis (FEA) is used to analyze the shaft model. A meshing convergence test was conducted prior to the optimization. In which a mesh size of 0.5 mm and a tetrahedron shape are selected for the whole simulation to determine critical areas on the electric motor shaft (EMS). In this study, shaft optimization was conducted by using three manners in a sequential process, namely reducing the shaft seat for the rear bearing, modifying the step in front of the rear bearing, and then making the taper from the step in the previous process. This design modification was made to reduce the shaft mass and the maximum equivalent stress. At first optimization, namely replacing the rear bearing and its mount on the shaft, it succeeded in reducing the axle weight by 2,81%. However, the max equivalent stress increased from 30.347 MPa to 54.756 MPa which is located at the intersection of the stepped area, as well as deformation also increased from 0.002434 mm to 0.0026894 mm at the middle shaft. This drawback is overcome by changing the depth of the stepped area and creating a taper. In which the shaft mass can be reduced from 431.07 g to 408.20 g, as well as max equivalent stress is reduced from 54.756 MPa to 28.637 MPa.

Modeling Size and Shape Dependence of Electro-Optical Properties of Semiconductor Nanosolids

Based on cohesive energy, the size and shape effect on Bandgap, Dielectric constant and Phonon frequency of low-dimension semiconductor nanomaterials are predicted with structural miniaturization down to the nanoscale. It is projected that nanomaterial’s optical and electrical properties no longer remain constant but become tunable. The model reports that the bandgap increases while the dielectric constant and phonon frequency drop on decreasing size to the nanoscale. The bandgap variation, dielectric constant and phonon frequency are reported for spherical, thin film, nanowire, regular tetrahedral and regular octahedral shapes of semiconductor nanosolids. The shape effect becomes prominent as the form changes from spherical to regular tetrahedral shape up to the size limit of 20 nm. A good agreement between our model predictions and the available experimental and simulation data justifies the theory’s validity.

Crystal structure of a (carb-oxy-meth-yl)tri-ethyl-aza-nium bromide-2-(tri-ethyl-aza-n-ium-yl)acetate (1/1) hydrogen-bonded dimer.

The title compound, C8H18NO2 +·Br-·C8H17NO2, crystallizes as the bromide salt of a 50:50 mixture of (tri-ethyl-azaniumyl)-carb-oxy-lic acid and the zwitterionic (tri-ethyl-azaniumyl)-carboxyl-ate. The two organic entities are linked by a half-occupied bridging carb-oxy-lic acid hydrogen atom that is hydrogen-bonded to the carboxyl-ate group of the second mol-ecule. The tetra-lkyl-ammonium group adopts a nearly perfect tetra-hedral shape around the nitro-gen atom with bond lengths that agree with known values. The carb-oxy-lic acid/carboxyl-ate group is oriented anti to one of the ethyl groups on the ammonium group, and the carbonyl oxygen atom is engaged in intra-molecular C-H⋯O hydrogen bonds.

Hot-Injection Synthesis of HgTe Nanoparticles: Shape Control and Growth Mechanisms.

Understanding the growth mechanisms of HgTe nanoparticles (NPs) with varied shapes is crucial for their applications in infrared photodetection. Here, we investigated the growth mechanisms of HgTe NPs with nanorod, sphere, and tetrahedral shapes in depth. The HgTe NPs with a nanorod shape are obtained at low reaction temperatures and formed by breaking tetrapod branches, while HgTe NPs with sphere and tetrahedron shapes have been further achieved at increased reaction temperatures. The systematic crystal analyses demonstrate this effective shape control is related to the synergic effect among the anisotropic passivation of oleylamine, surface free energy, and reaction temperatures. Our findings have deepened the understanding of shape control of the HgTe NPs and inspired a growing passion in the design and engineering of infrared photodetectors using HgTe NPs.

Synthesis, physicochemical characterisation and DNA binding study of a novel azo Schiff base Ni(II) complex

The azo Schiff base ligand was synthesised, along with its Ni(II) complex, by diazotisation of salicylaldehyde with 4-nitroaniline in accordance with the accepted literature approach. Using a variety of spectroscopic techniques, the resulting complex is analysed both quantitatively and qualitatively (Elemental analysis, FT-IR spectroscopy, UV-VIS spectroscopy, 1H NMR, etc.). Spectral measurements of the complex revealed a mole ratio of 1:1. The non-electrolytic nature of the complex is confirmed by molar conductance investigation. The unique azo compound had a tetrahedral shape as a result of the tetra coordination of two phenolic oxygen and two imine nitrogen. The ability of the metal complexes to bind DNA was examined using absorption spectroscopy, fluorescence spectroscopy, viscosity tests, and thermal denaturation methods. Experimental research suggests that complexes bind to DNA through intercalation.

A modified tetrahedron shape measure and its application for 3D trilateration localization in mobile cluster networks

In the error analysis of 3D trilateration localization, we constructed a new tetrahedron shape measurement method based on the condition number of the tetrahedron. This method uses algebraic operations, which is simpler than the previous methods based on complex geometric operations, and is also suitable for the shape measurement of triangle. For the trilateration localization problem in 3D space, based on tetrahedron shape measurement (TSM), we designed an algorithm of selecting anchor nodes on the hollow sphere centered at the unknown node. Extensive simulation experiments show that the tetrahedron shape measurement method proposed in this paper is effective. The anchor node selection algorithm based on tetrahedron shape measurement (TSM) can effectively suppress the iterative error problem in trilateration localization. Furthermore, the calculation of the tetrahedron condition number can be used for the deployment of anchor nodes in trilateration localization.

Exact solutions via Prabhakar fractional approach to investigate heat transfer and flow features of hybrid nanofluid subject to shape and slip effects

The core devotion of this study is to develop a generalized model by means of a recently proposed fractional technique in order to anticipate the enhancement in the thermal efficiency of engine oil because of the dispersion of graphene and magnesia nanoparticles. In addition to investigating the synergistic attributes of the foregoing particles, this work evaluates shape impacts for column, brick, tetrahedron, blade, and lamina-like shapes. In the primary model, the flow equation is coupled with concentration and energy functions. This classical system is transmuted into a fractional environment by generalizing mathematical expressions of thermal and diffusion fluxes by virtue of the Prabhakar fractional operator. In this study, ramped flow and temperature slip conditions are simultaneously applied for the first time to examine the behavior of a hybrid nanofluid. The mathematical analysis of this problem involves the incorporation of dimension-independent parameters into the model and the execution of the Laplace transform for the consequent equations. By doing so, exact solutions are derived in the form of Mittag–Leffler functions. Multiple illustrations are developed by dint of exact solutions to chew over all aspects of temperature variations and flow dynamics. For the preparation of these illustrations, the details of parametric ranges are as follows: 0.00 le varUpsilon le 0.04, 2.0 le Gr_1 le 8.0, 0.5 le Sc le 2.0, 0.1 le uptau le 4.0, 0.1 le d le 0.6, 0.2 le lambda _1 le 1.5, and 1.0 le Gr_2 le 7.0. The contribution of differently shaped nanoparticles, volume proportions, and fractional parameters in boosting the heat-transferring attributes of engine oil is also anticipated. In this regard, results for Nusselt number are provided in tabular form. Additionally, a brief analysis of shear stress is carried out for fractional parameters and various combinations of magnesia, graphene, and engine oil. This investigation anticipates that engine oil’s hybridization with magnesia and graphene would result in a 33% increase in its thermal performance, which evidently improves its industrial significance. The enhancement in Schmidt number yields an improvement in the mass transfer rate. An increment in collective volume fraction leads to raising the profile of the thermal field. However, the velocity indicates a decreasing behavior. Nusselt number reaches its highest value (Nu=8.1363) for the lamina shape of considered particles. When the intensity of the buoyancy force augments, it causes the velocity to increase.