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Perturbation Theory-Machine Learning Study of Zeolite Materials Desilication.

Vincent BlayToshiyuki YokoiHumberto González-Díaz
Published in: Journal of chemical information and modeling (2018)
Zeolites are important materials for research and industrial applications. Mesopores are often introduced by desilication but other properties are also affected, making its optimization difficult. In this work, we demonstrate that Perturbation Theory and Machine Learning can be combined in a PTML multioutput model describing the effects of desilication. The PTML model achieves a notable accuracy ( R2 = 0.98) in the external validation and can be useful for the rational design of novel materials.
Keyphrases
  • machine learning
  • artificial intelligence
  • big data
  • heavy metals
  • wastewater treatment
  • clinical evaluation