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Growing Science » Authors » Mohamed Ouabane

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Sort articles by: ๐Ÿ“– Volume | ๐Ÿ“… Date | โญ Most Rates | ๐Ÿ‘๏ธ Most Views | ๐Ÿš€ Rising Stars | ๐Ÿ”— Citations (Scopus) | ๐Ÿ”ฅ Hot Papers
1.

Quantum chemical investigation of a new ฯ€-conjugated low-bandgap thieno[3,4-b]pyrazine derivative with optoelectronic, photovoltaic and nonlinear optical properties Pages 675-690 Right click to download the paper Download PDF

Authors: Mustapha El hadjaoui, Mourad Chemek, Mohamed Ouabane, Ahmed Azaid, Mohamed Riad Fouad, Tahar Lakhlifi, Mohammed Bouachrine

doi 10.5267/j.ccl.2026.3.003

๐Ÿ”‘ Keywords: Thieno[3, 4-b]pyrazine, ฯ€-Conjugated donorโ€“acceptor systems, DFT and TD-DFT, Organic photovoltaics, Nonlinear optical properties

Abstract:
In this work, we theoretically design a new ฯ€-conjugated thieno[3,4-b]pyrazine derivative intended for organic electronics. The geometric, electronic, optical, photovoltaic, and nonlinear optical (NLO) properties of the studied molecule were investigated using calculations based on density functional theory (DFT) and its time-dependent variant (TD-DFT) at the B3LYP/6-31G(d,p) level. The structural modification of the reference molecule results in a small energy gap (Eg = 1.68 eV) and a significant enhancement in optical absorption in the visible region, with maxima observed at ฮปmax = 877 nm (TD-B3LYP) and ฮปmax = 668 nm (CAM-B3LYP).
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Journal: CCL | Year: 2026 | Volume: 15 | Issue: 3 | Views: 87

 
2.

Molecular engineering of thieno[3,4-b]pyrazine-based materials: Toward organic photovoltaic applications: DFT and TD-DFT investigations Pages 423-440 Right click to download the paper Download PDF

Authors: Mustapha El Hadjaoui, Morad Chemek, Ahmed Azaid, Mohamed Ouabane, Mohamed Riad Fouad, Tahar Lakhlifi, Mohammed Bouachrin

doi 10.5267/j.ccl.2025.12.005

๐Ÿ”‘ Keywords: ฯ€-Conjugated molecules, TD-DFT, Optoelectronic, Thieno[3, 4-b]pyrazine, Photovoltaic performance

Abstract:
Herein, we theoretically design four new ฯ€-conjugated thieno[3,4-b]pyrazine derivatives for organic solar cells (OSCs), denoted 2,3-di([2,2โ€ฒ:5โ€ฒ,2โ€ณ:5โ€ณ,2โ€ด-quaterthiophen]-5-yl)-5,7-di(thiophen-2-yl)thieno[3,4-b]pyrazine, 2,3-bis(5'''-(4-fluorophenyl)-[2,2':5',2'':5'',2'''-quaterthiophen]-5-yl)-5,7-di(thiophen-2-yl)thieno[3,4-b]pyrazine, 2,3-bis(5'''-(4-methoxyphenyl)-[2,2':5',2'':5'',2'''-quaterthiophen]-5-yl)-5,7-di(thiophen-2-yl)thieno[3,4-b]pyrazine, and 2,3-bis(5'''-(9-methyl-9H-carbazol-2-yl)-[2,2':5',2'':5'',2'''-quaterthiophen]-5-yl)-5,7-di(thiophen-2-yl)thieno[3,4-b]pyrazine. The geometric, electronic, optical, photovoltaic, and nonlinear optical (NLO) properties of the investigated chemical structure were investigated using Density Functional Theory (DFT) and Time-Dependent DFT (TD-DFT) calculations at the B3LYP/6-31G(d,p) level. Structural changes on the chemical structure induce a narrow energy gap in the range (2.08 โ€“ 2.12 eV), and an enhancement of the absorption in the visible range (ฮปmax = 682 โ€“ 688 nm). In addition, a low value of exciton binding energies is obtained (Eb = 0.28 โ€“ 0.31 eV). Analysis of the density of states (DOS), transition density matrix (TDM), electron localization function (ELF), and localized orbital locator (LOL) showed effective charge delocalization and donor-to-acceptor electron transfer. The photovoltaic performance was assessed using the open circuit voltage (Voc) obtained between Highest Occupied Molecular Orbital (HOMO) donor to Lowest Unoccupied Molecular Orbital (LUMO) acceptor levels and was found promising (Voc = 1.32 โ€“ 1.44 V). The large hyperpolarizability and high nonlinearity response of the NLO results also indicated the potential for these molecules to be used in various optoelectronic applications.
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Journal: CCL | Year: 2026 | Volume: 15 | Issue: 2 | Views: 205

 
3.

Theoretical design and optoelectronic properties of novel donorโ€“acceptorโ€“donor thieno[3,4-b]pyrazine derivatives for organic solar cells Pages 147-160 Right click to download the paper Download PDF

Authors: Mustapha Elhadjaoui, Ahmed Azaid, Mohamed Ouabane, Morad Chemek, Mohammed Bouachrine

doi 10.5267/j.ccl.2025.10.003

๐Ÿ”‘ Keywords: Organic solar cells ฯ€-Conjugated systems Thieno[3, 4-b]pyrazine BHJ TD-DFT

Abstract:
Due to the increasing scarcity of fossil fuels and the growing demand for energy, it has become necessary to research new renewable energy sources for high-performance organic photovoltaic materials. In this context, a series of new donorโ€“acceptorโ€“donor compounds, based on the thieno[3,4-b]pyrazine core unit, have been designed and theoretically investigated. Donor moieties were introduced to design novel derivatives aimed at enhancing both optical absorption and charge transport properties, denoted respectively as: PTH, PTH4PF, PTH4POME, and PTHCBZ. The geometric, electronic, optical and photovoltaic characteristics of these molecular structures have been studied in depth through extensive theoretical studies. Exhibited energy gap (EH-L =EHOMO - ELUMO) ranging from 2.48 to 2.32 eV, with absorption wavelengths (ฮปabs) between 552 and 589 nm. The Voc obtained values ranged from 0.77 to 0.99 V, while the LHE values varied between 0.59 and 0.87. This study highlights the impact of structural modifications on the electronic and photovoltaic properties of organic molecules, providing valuable guidance for the experimental design of high-efficiency organic solar cells.
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Journal: CCL | Year: 2026 | Volume: 15 | Issue: 1 | Views: 497

 
4.

1,2,4-triazole-chalcone and derivatives as antiproliferative agents: Quantum chemical studies, molecular docking, ADME-Tox and MD simulation Pages 867-884 Right click to download the paper Download PDF

Authors: Hanane Zaki, Mohamed Ouabane, Soumaya Aissaoui, Marwa Alaqarbeh, Mohammed Bouachrine

doi 10.5267/j.ccl.2025.7.002

๐Ÿ”‘ Keywords: 1, 2, 4-triazole-chalcone, Antiproliferative activity, Molecular Docking, MD simulation

Abstract:
The investigation of 1,2,4-triazole-chalcone has sparked immense interest due to their promising biological activities. These compounds, labeled 10C-10S, were synthesized and characterized by Jinjing et al., specifically focusing on their potential applications in biological settings, particularly their antiproliferative properties. Strategic exploration by computational chemistry techniques such as DFT calculations, molecular docking, and molecular dynamics with empirical findings proved pivotal in unraveling the multifaceted properties of these organic molecules. Additionally, molecular docking studies were conducted to elucidate the antiproliferative effects and analyze the potential binding modes of the compounds with specific amino acid residues in proteins. Rigorous comparisons between theoretical and experimental results yielded comprehensive insights into the properties of these compounds. We chose two molecules, C (the most active) and E (the least active), which have affinities of -7.689 and -7.526 kcal/mol, respectively, to test how stable they are with the EGFR receptor (PDB entry code: 6Z4B). Molecular dynamics simulations over 100 ns revealed more stable energies, with ฮ”G_Bind = -25.135 Kcal/mol and ฮ”G_Bind_vdW = -30.644 Kcal/mol.
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Journal: CCL | Year: 2025 | Volume: 14 | Issue: 4 | Views: 407

 
5.

The use of combined machine learning and in-silico molecular approaches for the study and the prediction of anti-HIV activity Pages 205-232 Right click to download the paper Download PDF

Authors: Mohamed Ouabane, Zouhir Dichane, Marwa Alaqarbeh, Radwan Alnajjar, Chakib Sekkate, Tahar Lakhlifi, Mohammed Bouachrine

doi 10.5267/j.ccl.2024.6.004

๐Ÿ”‘ Keywords: Anti-HIV, Machine Learning, QSAR, Docking, MD simulation

Abstract:
While the number of AIDS-related deaths continues to rise, efforts have been made to transform the disease into a manageable chronic condition. HIV protease inhibitors have become central to combination therapy. As a result, these inhibitors have become a major focus of anti-HIV drug development. This research takes a data-driven approach to drug development through the use of quantitative structure-activity relationship (QSAR) analysis. A dataset of 450 anti-HIV drugs was used to construct and validate models. Using extensive validation methods and various machine learning algorithms, the results clearly showed that the "ET" regression outperformed the other models (โ€œXGBโ€, โ€œLGBMโ€, โ€œDTโ€, โ€œRFโ€, โ€œGBโ€, โ€œBagโ€, and โ€œHGBโ€) in terms of goodness of fit, predictivity, generalizability, and model robustness. Promising compounds were subjected to molecular docking and molecular dynamics simulation, resulting in drugs with favourable pharmacokinetic and pharmacodynamic properties that consistently interact with the therapeutic target.
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Journal: CCL | Year: 2025 | Volume: 14 | Issue: 1 | Views: 503

 

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