We present a methodology capable of reproduce and predict the vibrational frequencies of the amide I vibrational mode on the N-Methylacetamide (NMA) which are associated to the C=O bond stretch, said frequency can be found between the (1629 - 1710 cm-1 ) depending on the chemical environment that surrounds the molecule, represented by different solvents including: Dimethyl Sulfoxide, Acetonitrile, Hexane, Tetrahydrofuran, Water, Methanol and Chloroform. The principal tool for this study is machine learning, most exactly the support vector machine regression tool.

Study of the solvent effect over the IR bands on the N-Methylacetamide using machine learning

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