Sadaf Noreen

University of Gujrat — Pakistan

Engineering · Physical Sciences

12h-index462citations32works4.92yr avg
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Research Topics

Organic Electronics and Photovoltaics(10), Perovskite Materials and Applications(6), Conducting polymers and applications(6), Machine Learning in Materials Science(6), Nonlinear Optical Materials Research(5)

Publications32 total

A Machine Learning Quest to Design Molecular Graph Fingerprints of Organic Chromophores for Adjusting Photoluminescent Quantum Yields
ACS Omega·2026Open Access
Exploring the structural basis of organic compounds by predicting experimental IR peaks: a machine learning analysis
Journal of Molecular Graphics and Modelling·2026
Molecular extension of APFO-green with electron acceptors as Push-Pull NIR switches for analysis of photovoltaic parameters with Python trained data
Journal of Physics and Chemistry of Solids·2026
Accelerated Chemical Space Generation of High Molar Extinction Organic Sensitizers via Machine Learning
Journal of Fluorescence·2025
Predicting Stokes Shifts of Fluorescent Chromophores Using Ensemble Learning and H2OAutoML
Journal of Fluorescence·2025· 1 cited
Simpler to better: A machine learning-multioutput Gaussian process analysis to design small molecule motors for visible range photo switching attributes
Dyes and Pigments·2025· 1 cited
Modeling Enthalpy of Formation with Machine Learning for Structural Evaluation and Thermodynamic Stability of Organic Semiconductors
Coatings·2025· 2 citedOpen Access
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
A reverse engineering descriptor tokenization machine learning analysis to design new triphenylamine chromophores with tunable absorption/emission
Materials Today Communications·2025· 1 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
Experimental and Theoretical Studies on a New Urea Clathrate Crystal: X-ray Diffraction, Hirshfeld Surface Analysis, RDG − NCI, FMOs, and NBO Analysis
Brazilian Journal of Physics·2025· 1 cited
A machine learning analysis to predict the stability driven structural correlations of selenium-based compounds as surface enhanced materials
Materials Chemistry and Physics·2025· 5 cited
Machine Learning–Assisted Design of Ytterbium-Based Materials with Tunable Bandgaps and Enhanced Stability
Brazilian Journal of Physics·2025· 3 cited
A rapid UV/Vis assisted designing of benzodithiophene based polymers by machine learning to predict their light absorption for photovoltaics
Organic Electronics·2025· 4 cited
Benzothiophene semiconductor polymer design by machine learning with low exciton binding energy: A vast chemical space generation for new structures
Materials Science in Semiconductor Processing·2025· 15 cited
A fast and efficient machine learning assisted prediction of urea and its derivatives to screen crystal propensity with experimental validation
Materials Today Communications·2025· 2 cited
Machine Learning Assisted Bithiophene Based Donor Acceptor Selection to Design New Fluoresent Dyes for Photovoltaic Applications
Journal of Fluorescence·2025· 14 cited
A machine learning and DFT assisted analysis of benzodithiophene based organic dyes for possible photovoltaic applications
Journal of Photochemistry and Photobiology A Chemistry·2024· 27 cited
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Frequent Co-authors

Sajjad Hussain Sumrra(27), Abrar U. Hassan(21), Ayesha Mohyuddin(11), Ashraf Y. Elnaggar(8), Cihat Güleryüz(7), Islam H. El Azab(7), M.H.H. Mahmoud(7), Hussein Ali Kadhim Kyhoiesh(6), Ghulam Mustafa(5), Muhammad Imran(5), Mamduh J. Aljaafreh(4), Wardha Zafar(3), Azal S. Waheeb(3), Mamduh J. Aljaafreh(3), Muhammad Zubair(2), Masar Ali Awad(2), Shaimaa Hassan Mallah(2), Yuchuan Li(2), Nyiang Kennet Nkungli(2), Zahid H. Chohan(1)