Islam H. El Azab

Taif University — Saudi Arabia

Chemistry · Physical Sciences

27h-index2.8kcitations147works6.42yr avg
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Research Topics

Synthesis and biological activity(29), Organic Electronics and Photovoltaics(20), Conducting polymers and applications(16), Synthesis and Characterization of Heterocyclic Compounds(16), Machine Learning in Materials Science(13)

Publications147 total

Author response for "Accelerated Discovery of New Organic Photovoltaic Dyes for OPVs Using Light Absorbance as the Primary Screening Criterion via Machine Learning and DFT"
2025
Integrating computational chemistry and machine learning for the stability prediction of transition metal ternary compounds
Materials Chemistry and Physics·2025· 1 cited
A machine learning study to predict long range order/disoroder of organic semiconductors: a study on maintaining delicate crystallinity balance
Indian Journal of Physics·2025
Author response for "Accelerated Discovery of New Organic Photovoltaic Dyes for OPVs Using Light Absorbance as the Primary Screening Criterion via Machine Learning and DFT"
2025
Machine‐Learning‐Based Design of Organic Chromophores with Improved Photovoltaic Efficiency
ChemistrySelect·2025· 2 cited
A machine learning-gaussian process screening of carbazole based donors to design efficient organic polymers for photovoltaic applications
Journal of Molecular Graphics and Modelling·2025· 2 cited
Multiscale machine learning strategies for designing high-performance indaceno-bithiophene-based polymers
Journal of Sulfur Chemistry·2025· 2 cited
Biochemical and Histopathological Study on the Exposure of Volatile Organic Compound (Benzene) and the Protective Effects of Oral Ascorbic Acid and Solenostemma argeal Extract Administrations in Adult Male Rats
Biology Bulletin·2025
Bandgap tuned indaceno based polymer design by machine learning for chemical space by descriptor designing and data guidelines
Materials Science in Semiconductor Processing·2025· 3 cited
An explainable machine learning data mining to generate new organic donors of organic dyes with lowest possible HOMO-LUMO gaps
Chemical Physics Letters·2025· 9 cited
A machine learning-DFT assisted structural screening for efficient polymer donors for their potential photovoltaic material applications
Materials Chemistry and Physics·2025· 5 cited
Theoretical Design of Asymmetrical 5,10‐Diphenyl‐5,10‐Dihydrophenazine Donor– <i>π</i> –Acceptor Chromophores for Photovoltaic Applications
Energy Technology·2025· 6 citedOpen Access
Author response for "Exploring the degree of long-range order/disorder in indaceno-based photovoltaic small molecules using data-driven machine learning analysis"
2025
A data driven investigation of photostability and formation energies in arsenic-containing compounds: machine learning-gaussian process output analysis
Materials Chemistry and Physics·2025· 2 cited
Predicting the glass transition temperature of norfullerene acceptor dyes by ensemble machine learning approach from their data driven approaches
Solid State Communications·2025· 4 cited
A machine learning assisted π-spacer selection of D- π-A type indaceno containing organic dyes with their highest possible HOMO energy
Optical and Quantum Electronics·2025· 4 cited
A DFT and Molecular Correlational Analysis on Newly Designed Silicon-Carbide Quantum Dots with Extended Acceptors for their Photovoltaic Performance
Silicon·2025
Probing azobenzene-like boron nitride triazoles for their photoswitching attributes through long range push–pull effects: a DFT study
Chemical Papers·2025
Exploring New Azobenzene Type Photoswitches by Machine Learning with Lowest Possible Fluorescence Excitons with Ease of Synthesis
Journal of Fluorescence·2025· 5 cited
Chemical modification-induced enhancements in quantum dot photovoltaics: a theoretical and molecular descriptive analysis
Structural Chemistry·2025· 3 cited
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Frequent Co-authors

M.H.H. Mahmoud(13), Ashraf Y. Elnaggar(11), Mina Huang(11), Gaber A. M. Mersal(10), Salah M. El‐Bahy(9), Zeinhom M. El‐Bahy(9), Mohamed M. Ibrahim(6), M. Sh. Zoromba(6), Nadia A. A. Elkanzi(5), Zhanhu Guo(5), M.H. Abdel‐Aziz(5), Ahmed F. Al‐Hossainy(5), Dilfuza Jabborova(3), Adil A. Gobouri(3), M. Bassyouni(3), Mengman Weng(2), Jintao Huang(2), Xinxin Sheng(2), Mingxiang Liu(2), Peitao Xie(2)