Computational Spectroscopy – Training Services

Computational Spectroscopy – Training Services provides participants with a comprehensive understanding of using computational methods to simulate and interpret spectroscopic data. The training covers principles, software tools, and techniques for modeling UV-Vis, IR, Raman, NMR, and fluorescence spectra of molecules and materials. Participants will learn methods for predicting spectral properties, studying molecular structure and dynamics, and correlating computational results with experimental data. Case studies highlight applications in drug design, materials research, molecular characterization, and photophysical studies. By the end of the course, learners will be proficient in applying computational spectroscopy for accurate prediction, analysis, and interpretation of spectroscopic data.