Ayesha Mohyuddin

University of Management and Technology — Pakistan

Environmental Science · Physical Sciences

23h-index1.7kcitations105works9.82yr avg
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Research Topics

Adsorption and biosorption for pollutant removal(11), Microplastics and Plastic Pollution(10), Advanced Photocatalysis Techniques(9), Nonlinear Optical Materials Research(9), Organic Electronics and Photovoltaics(7)

Publications105 total

Eco-engineered silver nanoparticles for multifunctional cotton fabric with integrated UV protection, antimicrobial efficacy and thermal regulation
Chemical Engineering Journal·2026
Retraction notice to ‘Source, occurrence, distribution, fate, and implications of microplastic pollutants in freshwater on environment: A critical review and way forward’ [Chemosphere 325 (2023) 138367]
Chemosphere·2026
Corrigendum to “Chitosan-Coated Coconut Shell Composite: A Solution for Treatment of Cr(III)-Contaminated Tannery Wastewater” [Journal of Taiwan Institute of Chemical Engineers: J. Taiwan Institute Chem Eng. 164C, 105478. (April 2024)]
Journal of the Taiwan Institute of Chemical Engineers·2025
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
Probing azobenzene-like boron nitride triazoles for their photoswitching attributes through long range push–pull effects: a DFT study
Chemical Papers·2025
Green microemulsion systems with choline-based SAILs: Formulation and piperine delivery
Chemical Physics·2025· 2 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
Applicability of Ni@ZnO polymer nanocomposite as an adsorbent for removal of methylene blue dye from synthetic wastewater: Batch studies and multilinear regression (MLR) modeling
Environmental Monitoring and Assessment·2025· 2 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
A machine learning and data-oriented quest to screen the degree of long-range order/disorder in polymeric materials
Materials Today Communications·2025· 3 cited
Machine Learning Assisted Bithiophene Based Donor Acceptor Selection to Design New Fluoresent Dyes for Photovoltaic Applications
Journal of Fluorescence·2025· 14 cited
On the quest for solar energy harvesters and nonlinear optics: a DFT exploration of A-D-D-A framework with varying sp2 hybridization
Journal of Computational Electronics·2024
Exploring structural basis of photovoltaic dye materials to tune power conversion efficiencies: A DFT and ML analysis of Violanthrone
Materials Chemistry and Physics·2024· 22 cited
Innovative transformation of palm oil biomass waste into sustainable biofuel: Technological breakthroughs and future prospects
Process Safety and Environmental Protection·2024· 17 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
Evaluating the electronic and structural basis of carbon selenide-based quantum dots as photovoltaic design materials: A DFT and ML analysis
Solar Energy·2024· 21 cited
Molecular engineering on tyrian puprle natural dye as TiO2 based fined tuned photovoltaic dye material: DFT molecular analysis
Journal of Molecular Graphics and Modelling·2024· 20 cited
Theoretical calculations of nonlinear optical responses for interpreting nonconjugated molecular systems to affect non-optimal properties
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy·2024· 4 cited
Digitalization for sustainable wastewater treatment: a way forward for promoting the UN SDG#6 ‘clean water and sanitation’ towards carbon neutrality goals
Discover Water·2024· 13 citedOpen Access
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Frequent Co-authors

Tonni Agustiono Kurniawan(20), Sohail Nadeem(17), Mohd Hafiz Dzarfan Othman(17), Mohsin Javed(15), Abrar U. Hassan(15), Hui Hwang Goh(14), Faissal Aziz(9), Sajjad Hussain Sumrra(9), Kit Wayne Chew(8), Eslam B. Elkaeed(8), Cihat Güleryüz(8), Abdelkader Anouzla(7), Hala A. Ibrahium(7), Ahtisham Haider(6), Imran Ali(6), Shahid Iqbal(6), Sadaf Noreen(6), Hussein Ali Kadhim Kyhoiesh(6), Batool Fatima(5), Hussein E. Al‐Hazmi(5)