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Hallale et al.[15] proposed a suitable super-structure method for optimizing hydrogen network systems with multiple impurities.
In succession, Ding et al.[19] proposed a mixing rules for determining whether sources and sinks can be matched for designing hydrogen network with multiple impurities.
Liu et al.[20] applied the evolutionary method to optimize the hydrogen network with multiple impurities, and obained optimal design of hydrogen network by determining establish flow rate matrixes.
In 2009, Liu et al.[21] proposed the concentration potential conception of the demand streams, it is used to confirm the order of the impurity concentrations of demanding streams.
[3] El-Halwagi M, Gabriel F, Harell D.

Mandal et al. (2008) [2] predicted the behaviour of 304L stainless steel against torsion using ANN.
An ANN model based on flow curve estimation for Al-Mg alloys was created by Toros and Ozturk (2011) [3].
Flow curves of ZAM100 magnesium alloy sheets were estimated by Mehtedi et al. (2019) [5] for use in hot forging applications.
Machine learning algorithms were applied to phenomenological flow curve estimation by Stendal et al. (2019) [6].
[5] M. el Mehtedi, A.

Sony 18650 Li-ion cells were studied by Ramadass et al. [7] under various conditions at an ambient temperature of 55 °C.
For example, Kong et al. [12] simulated the runaway behaviours of Li-ion batteries using OpenFoam.
Wu et al. [14] experimentally investigated a passive BTMS using a flexible composite PCM.
El Rhafiki, N.
Al-Jethelah, S.

El Bahir, M.
[4]Zhai Changyuan, Zhu Ruixiang, Zhang Zuojing et al.
Oliver, et al., Targeted spray technology to reduce pesticide in runoff from dormant orchards, Crop Protection, 27(2008) 545–552
Anthonis, et al., A non-linear model to approximate the dynamics of a pulse width-modulated spray nozzle, Mathematics and Computers in Simulation 65 (2004) 39–48
[12]Zou Wei, Li Li, Wang Xiu, et al., Variable Pesticide Spraying System Based on PWM Speed Control, Journal of Agricultural Mechanization Research 2(2010) 163-166.

Sathishkumar et al. [7] investigated the structural and dielectric studies of Co(0.5-x)NixZn0.5Fe2O4 (x = 0 to 0.3) prepared by co-precipitation technique.
Tang et al. [9] prepared Co1-xNixFe2O4 (0 ≤ x ≤ 1) nanoparticles (NPs) and found that the saturation magnetization (Ms) decreased linearly with increase in Ni2+ contents.
For instance, Harish et al. [14] investigated the photo-catalytic property of neodymium-substituted nickel ferrite nanoparticles NiFe2−xNdxO4 (where x = 0.0, 1.0, 1.5, 2.0).
Similar result was reported by Chavan et al. [21].
El-sadek, Electrical and magnetic transport properties of Ni–Cu–Mg ferrite nanoparticles prepared by sol–gel method, J.

The study by Barbosa et al [12], they used ferrite Ni0,5Zn0,5Fe2O4 methyl esterification reaction in soybean oil.
The work of Dantas et al [13], they made a comparative study of the catalytic nanoferrites activity Ni0.4Cu0.1Zn0.5Fe2O4 and Ni0.1Cu0.4Zn0.5Fe2O4 as catalysts in the methyl transesterification reaction of soybean oil.
These two events were also reported by Wu et al [22] when they studied the fuel effect on chemistry and electromagnetic properties of Ni-Zn ferrite doped SiO2.
Similar results of the reference (DBET/tc) were reported by Costa et al [25], when they studied the synthesis and characterization of Ni-Zn ferrite doped with copper.
[4] E.L.

Mixed Convection Heat Transfer from a Heated Square Cylinder Immersed in Upward Flow of Power-Law Fluids Houssem Laidoudi1,*, Mohamed Bouzit1 1Laboratoire des Sciences et Ingénierie Maritime (LSIM), Faculté de Génie Mécanique, USTO-MB, BP 1505, El-Menaouer, Oran, 31000, Algérie houssem.laidoudi@univ-usto.dz Keywords: Power-law, Critical Richardson number, Mixed convection, Steady flow, Nusselt number.
Chatterjee et al. [2] carried out through numerical investigations the suppression behavior of flow separation around bluff obstacles by aiding thermal buoyancy.
Also, Chatterjee et al. [5] they carried out the mixed convection heat transfer around five in-line isothermal square cylinders arranged within a vertical duct.
Chatterjee et al. [7] they analyzed the influence of channel confinement of different values of aiding/opposing thermal buoyancy on the flow structure and heat transfer rate from a confined square cylinder.
Dhiman, et al., Steady flow across a confined square cylinder effects of power-law index and blockage ratio, J.

Later, Zhang et al. [30] investigated sluggish diffusion in AlCoCrFeNi and CoCrFeMnNi alloys using the CALPHAD approach.
Comparison of numerically and experimentally obtained composition profiles (Cr-Fe-Co-Ni-Mn) (Using Tsai et al. [1]).
Comparison of numerically and experimentally obtained composition profiles (Cr-Fe-Co-Ni-Mn) (Using Dabrowa et al. [2]).
Comparison of numerically and experimentally obtained composition profiles (Cr-Fe-Co-Ni-Mn) (Using Dabrowa et al. [2]).
Allnatt, and E.L.

Calignano and al.: Overview on additive manufacturing technologies.
Li and al.: Selective laser melting of 316L–CuCrZr bimetallic structure via IN718 transition layer.
Al-Rubaie, A.
Sun and al.: Laser powder bed fusion of 316L stainless steel and K220 copper multi-material.
Liu and al.: Manufacturing of high strength and high conductivity copper with laser powder bed fusion.

Structural Parameters Present Study Farma et al. (2013) Farma et al. (2023) Taer et al. (2023) Interlayer spacing, d002 [Å] 3.5504 3.568 - 3.578 3.688-3.734 3.601-3.924 Interlayer spacing, d100 [Å] 2.0649 1.990 - 2.067 2.075-2.090 2.020-2.110 Stack height, Lc [Å] 12.4425 9.81 - 12.45 9.81-13.54 8.567-37.129 Stack width, La [Å] 42.2816 13.20 - 57.17 43.99-50.79 8.313-10.329 Ratio, Lc/d002 3.5045 2.742 - 3.489 2.967-3.625 1.846-10.311 Ratio, Lc/La 0.2943 0.218 - 0.743 0.193-0.307 0.365-3.595 Analysis of Adsorption-Desorption Isotherm Data.
Porosity Parameters Present Study Farma et al. (2013) Nor et al. (2017) Taer et al. (2023) BET Specific surface area, SBET [m2 g-1] 685 415-485 330-744 335-690 Mesopores specific surface area, Smeso [m2 g-1] 297 53-58 50-110 65-82 Micropores specific surface area, Smicro [m2 g-1] 388 361-427 280-687 270-608 Mesopores specific pores volume, Vmeso [cm3 g-1] 0.212 0.049-0.054 0.050-0.060 0.029-0.040 Micropores specific pores volume, Vmicro [cm3 g-1] 0.196 0.190-0.224 0.170-0.300 0.166-0.344 Average pore diameters, Dp [nm] 2.388 2.290-2.302 2.000-2.100 1.112-1.651 Analysis of Galvanostatic Charge-Discharge (GCD) Data.
These ESR values seem to be higher than the results reported elsewhere, that is ranging from 1.2 to 3.7 Ohm for carbon electrode mixtures composed of activated carbon, graphite and polytetrafluoroethylene (PTFE) [27] and from 9.7 to 16.7 Ohm for carbon electrodes derived from activated carbon powder [28] [Kim et al. 2004].
Cells Electrode Thickness [mm] Specific Capacitance [Fg-1] Energy Density [W h kg-1] Power Density [W kg-1] CV GCD Cell1 0.1 37 36 5 114 Cell3 0.3 8.3 7.10 1.01 46.66 Cell5 0.5 - 6.80 0.97 44.69 Cells in Farma et al. (2023) 0.2-0.3 310-421 320-430 45-68 160-248 Cell in Taer et al. (2023) 0.2 144-189 144-205 22-26 1090-1100 Cell in Nor et al. (2017) 0.4 12-90 12-90 1.4-3.1 155-194 Analysis of Cyclic Voltammetry Data.
El-Hallag, A.K.