معرفی
Aleksandar Doknic is a researcher active in physical chemistry and computational modeling, focusing on ionic liquids and infrared spectroscopy. He holds a BSc and MSc in Data Science, with recent contributions to peer-reviewed publications and scientific conferences.
- Latest collaboration with colleagues like Christian Schröder and Andras Szabadi in 2023.
His research interests revolve around computational chemistry, particularly in refining force fields for accurate simulation of IR spectra in ionic liquids. This work intersects disciplines such as physical chemistry, spectroscopy, and molecular dynamics.
In 2023, Doknic co-authored an open-access article in Physical Chemistry Chemical Physics and presented a poster titled Computational IR Spectra: A Case Study for Reproducing Experimental Data, highlighting his engagement in cutting-edge methodologies for experimental data reproduction.
