RESEARCHER PROFILE

Masar Ali Awad

Al-Muthanna University

Machine Learning in Materials ScienceAdvanced Chemical Physics StudiesOrganic Electronics and PhotovoltaicsAdsorption and biosorption for pollutant removalInorganic and Organometallic Chemistry

Masar Ali Awad works in Machine Learning in Materials Science, Advanced Chemical Physics Studies, Organic Electronics and Photovoltaics, Adsorption and biosorption for pollutant removal, Inorganic and Organometallic Chemistry. Recorded institutional associations include Al-Muthanna University.

19Publications

217Citations

6H-index

ORCID

Inclusion identifies researchers whose recorded research contributions may inform their university’s understanding of its research community. It does not rank individual research quality or establish current employment.

Selected research works

Up to 100 highly cited works; DOI links open the original research. Counts reflect the collected record, not real-time citation totals.

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Masar Ali Awad

Al-Muthanna University

Selected research works

Synthesis, and characterization of Ni(II), and Cu(II) metal complexes containing new azo dye ligand (N,N,N) and evaluation of their biological activities supported by DFT studies, molecular docking, ADMET profiling, drug-likeness analysis and toxicity prediction

A machine learning and DFT assisted analysis of benzodithiophene based organic dyes for possible photovoltaic applications

Molecular engineering on tyrian puprle natural dye as TiO2 based fined tuned photovoltaic dye material: DFT molecular analysis

RETRACTED ARTICLE: Cancer stages and demographical study of HPV16 in gene L2 isolated from cervical cancer in Dhi-Qar province, Iraq

Evaluating the electronic and structural basis of carbon selenide-based quantum dots as photovoltaic design materials: A DFT and ML analysis

Recent advances in the synthesis of zirconium complexes and their catalytic applications

Monolayer of B3O3 as a promising material in anode of magnesium-ion batteries: A theoretical study

Accelerated discovery of new organic photovoltaic dyes for OPVs using light absorbance as the primary screening criterion via machine learning and DFT

Integrating computational chemistry and machine learning for the stability prediction of transition metal ternary compounds

Curating Benzothiophene Experimental Absorption and Emission Spectra to Design Fluorescent Organic Polymer Chemical Space: A Machine Learning Quest

Characterization, isotherms kinetics and thermodynamics studies of amoxicillin in aqueous solution with a chitosan/poly acrylic amid-co-acrylic acid

Removel of a Bsoprolol drug from Aqueous Solutions onto Graphene Oxide/Carboymethyl cellulose sodium / Acryl acid polymer Composite by Adsorption

Machine‐Learning‐Based Design of Organic Chromophores with Improved Photovoltaic Efficiency

Synthesis and Characterization of C/ZnO Nanocomposite: Adsorption Isotherm of a Reactive Green from Aqueous Solutions

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"

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"

Synthesis, characterization and antimicrobial activity of nickel(iii), and zinc(II) complexes with novel azo dye ligand (N, N, O) derived from 2-amino benzothiazole

Synthesis, characterization, antimicrobial evaluation studies and cytotoxic activity of new Co(III) , Cu(II) and Ag(i) complexes with tridentate (N,N,O) donor azo dye ligand

Direct Yellow 8 Azo Removal by Bentonite Clay Solution: Experimental and Theoretical Studies