Rina Ibragimova

Rina Ibragimova is a Postdoctoral Researcher at Aalto University, affiliated with the DAS Group in the Chemistry and Materials domain. Her research focuses on computational materials science, particularly the development and application of machine learning interatomic potentials for modeling hydrocarbons and MXenes.

Her work spans surface functionalization, defect analysis, and electronic properties of 2D materials. Recent publications highlight collaborations with leading researchers in the field, emphasizing experiment-driven atomistic modeling and theoretical studies of MXene stability and structure.

Key trends in her research include combining spectroscopic data (XPS) with machine learning for precise structure inference, investigating pH-dependent functionalization in MXenes, and exploring electron beam effects on 2D materials. Her publications appear in high-impact journals like ACS Nano, Nature Communications, and Physical Review B.