M.H.H. Mahmoud

Abu Dhabi University — AE

Energy · Physical Sciences

30h-index3.5kcitations156works6.92yr avg
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Research Topics

Advanced Photocatalysis Techniques(34), Extraction and Separation Processes(20), Organic Electronics and Photovoltaics(17), Conducting polymers and applications(14), Metal Extraction and Bioleaching(13)

Publications156 total

Machine‐Learning‐Based Design of Organic Chromophores with Improved Photovoltaic Efficiency
ChemistrySelect·2025· 2 cited
An in-depth investigation of CsPbI2Br-based mixed halide perovskite solar cells: A numerical approach
Journal of Physics and Chemistry of Solids·2025· 1 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
Annealed Polyvinyl Alcohol Hydrogels for Cartilage Replacement: Effects of Synthesis Parameters on Mechanical Properties
Gels·2025Open Access
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
Revealing the unknown about titanium dioxide nanoparticles: Introduction to titanium dioxide: synthesis and uses in nanomedicine and pharmaceuticals
Octahedron Drug Research·2025
Author response for "Exploring the degree of long-range order/disorder in indaceno-based photovoltaic small molecules using data-driven machine learning analysis"
2025
Prospects and Challenges of Proton Conducting Cerates in Electrochemical Hydrogen Devices for Clean Energy Systems: A Review
Global Challenges·2025· 7 citedOpen Access
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
Synergistic combination of DJ 2D-3D Layers: Achieving 30.75 % perovskite solar cell efficiency
Journal of Physics and Chemistry of Solids·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
Screening thiophene based organic spacers for their low lying LUMO energies for photovoltaic dye materials: a Gaussian process ML based analysis
Journal of Sulfur Chemistry·2025· 3 cited
Deciphering structural and electronic basis of silicon carbide quantum dots for photovoltaic performance: A DFT and molecular correlational analysis
Journal of Molecular Graphics and Modelling·2025· 5 cited
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Frequent Co-authors

Islam H. El Azab(13), Ashraf Y. Elnaggar(8), Mina Huang(7), Adel A. Ismail(7), Zeinhom M. El‐Bahy(6), M. M. Rashad(5), Salah M. El‐Bahy(5), I.A. Ibrahim(4), Soha M. Albukhari(4), Mohamed M. Ibrahim(3), Gaber A. M. Mersal(3), M.A. Barakat(3), E.A. Abdel‐Aal(3), L.A. Al-Hajji(3), Mohammed Alsawat(3), Nashwa M. El‐Metwaly(3), A. Alhadhrami(3), Mengman Weng(2), Jintao Huang(2), Xinxin Sheng(2)