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Machine learning enhanced spectroscopic analysis: towards autonomous chemical mixture characterization for rapid process optimization

Andrea Angulo, Lankun Yang, Eray S. Aydil, Miguel A. Modestino

2021Digital Discovery37 citationsDOIOpen Access PDF

Abstract

A supervised machine learning algorithm is developed to determine the concentrations of chemical species in multicomponent solutions from their Fourier transform infrared (FTIR) spectra.

Topics & Concepts

Fourier transform infrared spectroscopyCharacterization (materials science)Fourier transformProcess (computing)InfraredComputer scienceChemical processArtificial intelligenceBiological systemPattern recognition (psychology)Machine learningMaterials scienceAnalytical Chemistry (journal)ChemistryChemical engineeringNanotechnologyChromatographyMathematicsEngineeringPhysicsOpticsBiologyOperating systemMathematical analysisWater Quality Monitoring and AnalysisSpectroscopy and Chemometric AnalysesAdvanced Chemical Sensor Technologies
Machine learning enhanced spectroscopic analysis: towards autonomous chemical mixture characterization for rapid process optimization | Litcius