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Utilization of machine learning on FT-ICR MS spectra for improved understanding and prediction of theproperties of hydrate-active components

Category

Academic lecture

Client

  • Research Council of Norway (RCN) / 294636

Language

English

Author(s)

Affiliation

  • Norges miljø- og biovitenskapelige universitet
  • SINTEF Industry / Process Technology
  • SINTEF Industry / Biotechnology and Nanomedicine
  • SINTEF Industry

Presented at

European Conference on Gas Hydrates

Place

Lyon, France

Date

13.06.2022 - 16.06.2022

Organizer

Saint-Étienne School of Mines

Year

2022

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