Ms. Ala Hssain 🎓 has a rich background in teaching and laboratory assistance. She served as an assistant physicist at the University of Sulaimani 🔬, working in optics, electricity, and measurement labs (2009-2010), solid-state and atomic labs (2010-2011), and atomic labs (2011-2012). Later, she became a lecturer at the University of Halabja 📚, teaching Calculus, scientific debate, atomic labs, metrology, and electricity & magnetism between 2014 and 2018. Currently, she continues her academic journey as a Quantum Mechanics professor ⚛️ for third-year students at the University of Halabja, contributing to the next generation of physicists. 🚀
Research Experience
Ms. Ala Hssain 🎓 is proficient in advanced computational tools for molecular simulations and density functional theory (DFT) 🔬. She has expertise in Gaussian software for molecular modeling, enabling precise quantum mechanical calculations ⚛️. Additionally, she is skilled in VESTA for 3D visualization of crystal structures 🏗️, VMD for molecular dynamics simulations 🧬, Multiwfn for wavefunction analysis 🌊, and Siesta for efficient DFT calculations on complex materials 🏢. Her expertise in these tools enhances her research in material science, quantum mechanics, and computational physics, contributing to innovative advancements in the field. 🚀
Academic Activities
Ms. Ala Hssain 🎓 has an extensive research portfolio, focusing on material science, quantum mechanics, and computational chemistry 🔬. Her publications explore hydroxyapatite co-doping, spinel synthesis, and optoelectronic compounds. Notable works include DFT modeling of Secnidazole 🧪, structural and spectroscopic studies on serotonin ⚛️, and Mg-doped Zn-based hydroxyapatites 🏗️. She has also contributed to theoretical and experimental research on L-tryptophan dimers 🧬. Published in prestigious journals like Chemical Physics Letters and Journal of Molecular Structure, her studies drive advancements in materials chemistry, nanotechnology, and molecular simulations. 🚀📖
Research Focus
Ms. Ala Hssain’s research focuses on Computational and Experimental Chemistry 🧪, particularly in the structural and spectroscopic analysis of biomolecules. Her work on the L-tryptophan dimer state involves a combination of Density Functional Theory (DFT)🖥️ and Molecular Dynamics (MD) simulations to understand molecular interactions and stability. This interdisciplinary research bridges theoretical modeling and experimental validation, contributing to fields like biophysics 🧬, pharmaceutical sciences 💊, and material chemistry 🔬. Her expertise lies in using computational tools to predict molecular behavior, aiding in drug design and biomolecular engineering. Her findings enhance the understanding of amino acid interactions in biological systems.
Publication Top Notes
Structural and spectroscopic study of L-tryptophan dimer state using DFT and MD: Computational and experimental analysis