Noora B. Shwayyea (She/Her)

Asisent professor , university of sumer
  • Iraq

About Noora B. Shwayyea

I am a researcher specializing in computational physics and nanomaterials, with a strong focus on density functional theory (DFT) and time-dependent DFT (TD-DFT) simulations. My research interests center on graphene-based nanostructures, including graphene quantum dots (GQDs), circumcoronene, and other two-dimensional materials, with particular emphasis on doping effects, gas adsorption, and electronic and optical property tuning.

My work aims to understand structure–property relationships at the nanoscale and to explore practical applications in environmental sensing, energy-related materials, and nanoelectronics. I am especially interested in theoretical studies that support sustainable and environmentally oriented technologies.

I actively contribute to academic research through scientific writing, peer review, and collaboration, and I am motivated to engage with the global research community to advance knowledge in nanoscience and computational modeling.

Recent Comments

Dec 23, 2025

I am a researcher specializing in computational physics and nanomaterials, with a strong focus on density functional theory (DFT) and time-dependent DFT (TD-DFT) simulations. My research interests center on graphene-based nanostructures, including graphene quantum dots (GQDs), circumcoronene, and other two-dimensional materials, with particular emphasis on doping effects, gas adsorption, and electronic and optical property tuning.
My work aims to understand structure–property relationships at the nanoscale and to explore practical applications in environmental sensing, energy-related materials, and nanoelectronics. I am especially interested in theoretical studies that support sustainable and environmentally oriented technologies.
I actively contribute to academic research through scientific writing, peer review, and collaboration, and I am motivated to engage with the global research community to advance knowledge in nanoscience and computational modeling.

Details

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