Mohamed Benghanem
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Mohamed Benghanem has a total of 293 co-authors. Here are the top co-authors by number of shared publications:
- Adel Mellit
Renewable Energy Laboratory, Jijel University, Jijel 18000, Algeria
23 shared publications - Badis Lekouaghet
Research Center in Industrial Technologies (CRTI), P.O. Box 64, Cheraga, Algiers 16014, Algeria
11 shared publications - Azizur Rahman
Department of Electrical and Electronic Engineering Begum Rokeya University Rangpur Bangladesh
9 shared publications - Sofiane Haddad
Renewable Energy Laboratory, Faculty of Sciences and Technology, Jijel University, Jijel, Algeria
9 shared publications - Amar Hadj Arab
CDER
8 shared publications - Moamen Salah Refat
Department of Chemistry, Main Campus, College of Sciences, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia
8 shared publications
Latest Publications
- 11 November 2026
- Published by Wiley in Energy Technology
- Vol. 14 (11)
Initial Evaluation of Mg 3 PBr 3 Perovskite: Stability, Mechanical Sturdiness, and Photovoltaic Possibilities
This study employs DFT and SCAPS‐1D device simulations to investigate Mg 3 PBr 3 as a novel lead‐free photovoltaic absorber. The material is selected as a sustainable alternative to conventional Pb‐based halide perovskites due to its earth‐abundant composition and environmental compatibility. Thermodynamic stability is confirmed by a negative formation energy of −2.99 eV/atom, indicating resistance against elemental decomposition. Phonon dispersion calculations reveal the absence of imaginary frequencies, confirming dynamic stability, while elastic constant analysis satisfies the Born stability criteria, demonstrating mechanical robustness suitable for thin‐film device fabrication. Electronic structure analysis shows semiconducting behavior with mixed ionic–covalent bonding characteristics, and moderate effective masses suggest favorable carrier transport. SCAPS‐1D simulations, based on coupled Poisson and continuity equations, are performed for the Al/FTO/CdS/Mg 3 PBr 3 /Au device architecture to evaluate photovoltaic performance. The optimized device yields a PCE of 21.45%, with a J SC of 31.27 mA cm −2 , V OC of 0.82 V, and FF of 82.90%. Compared to Pb‐based perovskites, Mg 3 PBr 3 offers improved environmental safety and material sustainability. However, as the study is fully computational, uncertainties arise from DFT functional limitations, idealized interfaces, and the lack of experimentally validated defect and transport parameters. Overall, Mg 3 PBr 3 is identified as a promising lead‐free photovoltaic absorber for next‐generation solar cells.
- 11 November 2026
- Published by Wiley in Energy Technology
- Vol. 14 (11)
Initial Evaluation of Mg 3 PBr 3 Perovskite: Stability, Mechanical Sturdiness, and Photovoltaic Possibilities
This study employs DFT and SCAPS‐1D device simulations to investigate Mg 3 PBr 3 as a novel lead‐free photovoltaic absorber. The material is selected as a sustainable alternative to conventional Pb‐based halide perovskites due to its earth‐abundant composition and environmental compatibility. Thermodynamic stability is confirmed by a negative formation energy of −2.99 eV/atom, indicating resistance against elemental decomposition. Phonon dispersion calculations reveal the absence of imaginary frequencies, confirming dynamic stability, while elastic constant analysis satisfies the Born stability criteria, demonstrating mechanical robustness suitable for thin‐film device fabrication. Electronic structure analysis shows semiconducting behavior with mixed ionic–covalent bonding characteristics, and moderate effective masses suggest favorable carrier transport. SCAPS‐1D simulations, based on coupled Poisson and continuity equations, are performed for the Al/FTO/CdS/Mg 3 PBr 3 /Au device architecture to evaluate photovoltaic performance. The optimized device yields a PCE of 21.45%, with a J SC of 31.27 mA cm −2 , V OC of 0.82 V, and FF of 82.90%. Compared to Pb‐based perovskites, Mg 3 PBr 3 offers improved environmental safety and material sustainability. However, as the study is fully computational, uncertainties arise from DFT functional limitations, idealized interfaces, and the lack of experimentally validated defect and transport parameters. Overall, Mg 3 PBr 3 is identified as a promising lead‐free photovoltaic absorber for next‐generation solar cells.
- Open Access
- 21 October 2026
- Published by Royal Society of Chemistry (RSC) in RSC Advances
- Vol. 16 (46) , 59549-59573
First-principles discovery of multifunctional K 2 NaRhX 6 (X = F, Cl, Br, I) halide double perovskites for photovoltaic and photocatalytic applications
Lead-free halide double perovskites have emerged as attractive multifunctional materials for sustainable energy conversion owing to their compositional flexibility and tunable electronic structures.
- 21 October 2026
- Published by Royal Society of Chemistry (RSC) in RSC Advances
- Vol. 16 (46) , 59549-59573
Open AccessFirst-principles discovery of multifunctional K 2 NaRhX 6 (X = F, Cl, Br, I) halide double perovskites for photovoltaic and photocatalytic applications
Lead-free halide double perovskites have emerged as attractive multifunctional materials for sustainable energy conversion owing to their compositional flexibility and tunable electronic structures.
- Open Access
- 10 September 2026
- Published by Springer Nature in Scientific Reports
- Vol. 16 (1)
A sustainable techno-economic off-grid energy systems feasibility and power generation performance analysis under various solar tracking configurations in different regions of Bangladesh
- 10 September 2026
- Published by Springer Nature in Scientific Reports
- Vol. 16 (1)
Open AccessA sustainable techno-economic off-grid energy systems feasibility and power generation performance analysis under various solar tracking configurations in different regions of Bangladesh
- Open Access
- 28 August 2026
- Published by MDPI AG in World Electric Vehicle Journal
- Vol. 17 (9) , 454
Improved Modeling and Parameter Optimization of Li-Ion Batteries for Electric Vehicles Using Artificial Lemming Algorithm
In electric vehicles (EVs), the battery management system (BMS) plays a central role in ensuring safe, efficient, and reliable battery operation under varying driving and environmental conditions. The effectiveness of a BMS largely depends on the availability of an accurate battery model, whose performance is strongly influenced by the precision of its identified parameters. However, estimating these parameters remains a difficult nonlinear optimization problem, especially under low state of charge (SOC) operation. Classical identification approaches often have limited robustness under such conditions, while metaheuristic algorithms provide a promising alternative because of their ability to handle nonlinear and multimodal search spaces. Even so, many existing methods still encounter drawbacks related to convergence speed and susceptibility to local optima. Motivated by these challenges, this study investigates the recently introduced Artificial Lemming Algorithm (ALA) for parameter identification of a second-order equivalent circuit model (2RC-ECM) under EV-oriented low-SOC operating conditions. Experimental validation is conducted using two independent dynamic datasets, namely the High Dynamic Profile (HDP) at 25 °C and the Urban Dynamometer Driving Schedule (UDDS) at −5 °C, involving different lithium-ion cells and operating conditions. ALA is benchmarked against nine competing metaheuristic algorithms under identical search boundaries and computational settings. Performance is assessed using RMSE, MAE, MaxAE, bias, convergence behavior, error distributions, execution time, and sensitivity to the number of independent runs, population size, and maximum number of iterations. The results show that ALA achieves the lowest minimum, mean, and maximum RMSE for both datasets, with minimum RMSE values of for HDP and for UDDS. Unseen-data validation further yields RMSE and MAE values of and , respectively, for HDP, and and , respectively, for UDDS. In addition, convergence, error-distribution, and sensitivity analyses show that ALA maintains competitive and consistent performance across the investigated configurations. Overall, the results demonstrate that ALA provides a favorable balance between estimation accuracy, robustness, convergence behavior, and computational cost for offline lithium-ion battery parameter identification.- 28 August 2026
- Published by MDPI AG in World Electric Vehicle Journal
- Vol. 17 (9) , 454
Open AccessImproved Modeling and Parameter Optimization of Li-Ion Batteries for Electric Vehicles Using Artificial Lemming Algorithm
In electric vehicles (EVs), the battery management system (BMS) plays a central role in ensuring safe, efficient, and reliable battery operation under varying driving and environmental conditions. The effectiveness of a BMS largely depends on the availability of an accurate battery model, whose performance is strongly influenced by the precision of its identified parameters. However, estimating these parameters remains a difficult nonlinear optimization problem, especially under low state of charge (SOC) operation. Classical identification approaches often have limited robustness under such conditions, while metaheuristic algorithms provide a promising alternative because of their ability to handle nonlinear and multimodal search spaces. Even so, many existing methods still encounter drawbacks related to convergence speed and susceptibility to local optima. Motivated by these challenges, this study investigates the recently introduced Artificial Lemming Algorithm (ALA) for parameter identification of a second-order equivalent circuit model (2RC-ECM) under EV-oriented low-SOC operating conditions. Experimental validation is conducted using two independent dynamic datasets, namely the High Dynamic Profile (HDP) at 25 °C and the Urban Dynamometer Driving Schedule (UDDS) at −5 °C, involving different lithium-ion cells and operating conditions. ALA is benchmarked against nine competing metaheuristic algorithms under identical search boundaries and computational settings. Performance is assessed using RMSE, MAE, MaxAE, bias, convergence behavior, error distributions, execution time, and sensitivity to the number of independent runs, population size, and maximum number of iterations. The results show that ALA achieves the lowest minimum, mean, and maximum RMSE for both datasets, with minimum RMSE values of for HDP and for UDDS. Unseen-data validation further yields RMSE and MAE values of and , respectively, for HDP, and and , respectively, for UDDS. In addition, convergence, error-distribution, and sensitivity analyses show that ALA maintains competitive and consistent performance across the investigated configurations. Overall, the results demonstrate that ALA provides a favorable balance between estimation accuracy, robustness, convergence behavior, and computational cost for offline lithium-ion battery parameter identification. - 10 August 2026
- Published by Royal Society of Chemistry (RSC) in New Journal of Chemistry
- Vol. 50 (31) , 12932-12964
Multiscale computational study of lead-free Cs 3 InI 6 and Rb 3 InI 6 double perovskites for solar cell applications
In this study, lead-free vacancy-ordered double perovskites Cs 3 InI 6 and Rb 3 InI 6 are evaluated using a unified multiscale workflow integrating DFT, SCAPS-1D and ANSYS.
- 10 August 2026
- Published by Royal Society of Chemistry (RSC) in New Journal of Chemistry
- Vol. 50 (31) , 12932-12964
Multiscale computational study of lead-free Cs 3 InI 6 and Rb 3 InI 6 double perovskites for solar cell applications
In this study, lead-free vacancy-ordered double perovskites Cs 3 InI 6 and Rb 3 InI 6 are evaluated using a unified multiscale workflow integrating DFT, SCAPS-1D and ANSYS.
- 9 August 2026
- Published by Taylor & Francis in International Journal of Modelling and Simulation
- p. 1-23
Optimized fractional-order control for finite-time stabilization of energy-saving and emission-reduction process
1. Fractional-order chaotic systems (Fo-CSs) are a class of dynamical systems that extend ordinary chaotic systems by replacing integer-order derivatives with fractional-order derivatives. Hartley ...
- 9 August 2026
- Published by Taylor & Francis in International Journal of Modelling and Simulation
- p. 1-23
Optimized fractional-order control for finite-time stabilization of energy-saving and emission-reduction process
1. Fractional-order chaotic systems (Fo-CSs) are a class of dynamical systems that extend ordinary chaotic systems by replacing integer-order derivatives with fractional-order derivatives. Hartley ...
- 8 August 2026
- Published by World Scientific Pub Co Pte Ltd in Modern Physics Letters B
- Vol. 40 (25)
Multiscale investigation of lead-free Ce-based perovskite: From DFT-derived optoelectronic properties to photovoltaic and photocatalytic performance
This study presents a comprehensive simulation-based investigation of lead-free Rb 2 CeCl 6 perovskite solar cells (PSCs) using the DFT and SCAPS-1D framework. Structural analysis confirms the cubic stability of Rb 2 CeCl 6 with a suitable tolerance factor and a direct bandgap of 1.748[Formula: see text]eV, making it highly effective for visible-light absorption. Optical simulations reveal high absorption coefficients ([Formula: see text]59,000[Formula: see text]cm[Formula: see text]) and a favorable dielectric response, indicating strong photon-harvesting and exciton dissociation capabilities. Mechanical analysis demonstrates elastic stability, ductility, and low anisotropy, supporting its suitability for thin-film device fabrication. Photocatalytic assessment based on band-edge alignment reveals that the conduction band minimum ([Formula: see text]0.414[Formula: see text]eV) is sufficiently negative to drive hydrogen evolution and multiple CO 2 reduction pathways, while the valence band maximum (0.838[Formula: see text]eV) supports oxidation reactions, confirming the material’s thermodynamic feasibility for solar-driven photocatalysis. Energy band alignment studies identify WS 2 and TiO 2 as optimal electron transport layers (ETLs), offering minimal interfacial recombination and improved charge extraction. Parametric analysis of absorber thickness, ETL thickness, doping concentration, and defect density reveals that optimal values significantly enhance PV performance, with a peak power conversion efficiency (PCE) of 20.94% achieved using WS 2 as the ETL. The study further explores the impact of temperature, series and shunt resistance, and generation–recombination dynamics, highlighting that device performance is maximized around 300[Formula: see text]K with low recombination and minimal parasitic losses. Overall, the combined DFT and device-level results demonstrate that Rb 2 CeCl 6 is a promising eco-friendly material for next-generation energy applications, offering strong potential for both high-efficiency PV devices and solar-driven photocatalytic processes.
- 8 August 2026
- Published by World Scientific Pub Co Pte Ltd in Modern Physics Letters B
- Vol. 40 (25)
Multiscale investigation of lead-free Ce-based perovskite: From DFT-derived optoelectronic properties to photovoltaic and photocatalytic performance
This study presents a comprehensive simulation-based investigation of lead-free Rb 2 CeCl 6 perovskite solar cells (PSCs) using the DFT and SCAPS-1D framework. Structural analysis confirms the cubic stability of Rb 2 CeCl 6 with a suitable tolerance factor and a direct bandgap of 1.748[Formula: see text]eV, making it highly effective for visible-light absorption. Optical simulations reveal high absorption coefficients ([Formula: see text]59,000[Formula: see text]cm[Formula: see text]) and a favorable dielectric response, indicating strong photon-harvesting and exciton dissociation capabilities. Mechanical analysis demonstrates elastic stability, ductility, and low anisotropy, supporting its suitability for thin-film device fabrication. Photocatalytic assessment based on band-edge alignment reveals that the conduction band minimum ([Formula: see text]0.414[Formula: see text]eV) is sufficiently negative to drive hydrogen evolution and multiple CO 2 reduction pathways, while the valence band maximum (0.838[Formula: see text]eV) supports oxidation reactions, confirming the material’s thermodynamic feasibility for solar-driven photocatalysis. Energy band alignment studies identify WS 2 and TiO 2 as optimal electron transport layers (ETLs), offering minimal interfacial recombination and improved charge extraction. Parametric analysis of absorber thickness, ETL thickness, doping concentration, and defect density reveals that optimal values significantly enhance PV performance, with a peak power conversion efficiency (PCE) of 20.94% achieved using WS 2 as the ETL. The study further explores the impact of temperature, series and shunt resistance, and generation–recombination dynamics, highlighting that device performance is maximized around 300[Formula: see text]K with low recombination and minimal parasitic losses. Overall, the combined DFT and device-level results demonstrate that Rb 2 CeCl 6 is a promising eco-friendly material for next-generation energy applications, offering strong potential for both high-efficiency PV devices and solar-driven photocatalytic processes.
- Open Access
- 1 July 2026
- Published by Sociedad Mexicana de Fisica A C in Revista Mexicana de Física
- Vol. 72 (4) , 1-10
FrYBi (Y = Ca, Sr, Ba) Semiconductors for Visible-Light Harvesting: A multifunctional platform for energy conversion and optoelectronic applications
This study presents a comprehensive first-principles investigation of the structural, electronic, optical, elastic, and thermoelectric properties of the novel half-Heusler compounds FrYBi (Y = Ca, Sr, Ba). Employing density functional theory (DFT) with both the GGA-PBE and mBJ-GGA approximations, we determine that these compounds crystallise in the cubic Clb structure and exhibit indirect band gaps ranging from 0.97 to 1.35 eV, confirming their semiconducting nature. Detailed optical analyses reveal high absorption coefficients, pronounced reflectivity, and favourable dielectric responses within the visible spectrum, indicating potential for optoelectronic applications. Calculations of the elastic properties demonstrate that all compounds are mechanically stable and exhibit ductile behaviour. Thermoelectric analysis indicates high Seebeck coefficients alongside good electrical conductivity, particularly at low to moderate temperatures, suggesting promising performance for energy conversion applications. These findings position FrYBi alloys as compelling candidates for next-generation thermoelectric and optoelectronic devices.
- 1 July 2026
- Published by Sociedad Mexicana de Fisica A C in Revista Mexicana de Física
- Vol. 72 (4) , 1-10
Open AccessFrYBi (Y = Ca, Sr, Ba) Semiconductors for Visible-Light Harvesting: A multifunctional platform for energy conversion and optoelectronic applications
This study presents a comprehensive first-principles investigation of the structural, electronic, optical, elastic, and thermoelectric properties of the novel half-Heusler compounds FrYBi (Y = Ca, Sr, Ba). Employing density functional theory (DFT) with both the GGA-PBE and mBJ-GGA approximations, we determine that these compounds crystallise in the cubic Clb structure and exhibit indirect band gaps ranging from 0.97 to 1.35 eV, confirming their semiconducting nature. Detailed optical analyses reveal high absorption coefficients, pronounced reflectivity, and favourable dielectric responses within the visible spectrum, indicating potential for optoelectronic applications. Calculations of the elastic properties demonstrate that all compounds are mechanically stable and exhibit ductile behaviour. Thermoelectric analysis indicates high Seebeck coefficients alongside good electrical conductivity, particularly at low to moderate temperatures, suggesting promising performance for energy conversion applications. These findings position FrYBi alloys as compelling candidates for next-generation thermoelectric and optoelectronic devices.