Book Description

Carbon-13 nuclear magnetic resonance spectrum simulation; New approaches to computer-aided NMR interpretation and structure prediction; Multivariate data analysis of 2D NMR matrices; Deconvolution and quantitative enhancement of multidimensional spectra; Automatic analysis and simulation of mass spectra; Multivariate analysis of time-resolved pyrolysis mass spectral data; Extracting qualitative and quantitative information from infrared emission spectral data; Confirmation of detected species using Kovats indices and very low resolution spectrometry correlation analysis; The synergy of computational chemistry and spectroscopy in understanding molecular structure and dynamics at interfaces; Enhancement of chemical information through computer-assisted examination of spectral variations; Resolving unmodeled components from UV-visible spectra with adaptive filtering; Artificial intelligence and neural networks applied to ion mobility spectrometry.