Machine-learning-assisted screening of pure-silica zeolites for effective removal of linear siloxanes and derivatives

Shiru Lin, Yekun Wang, Yinghe Zhao, Luis R. Pericchi, Arturo J. Hernández‐Maldonado, Zhongfang Chen

Journal of Materials Chemistry A · 2019 · 24 citations · 70 references

Concepts

Abstract

By a two-step computational process, namely Grand Canonical Monte Carlo (GCMC) simulations and machine learning (ML), we screened 50 959 hypothetical pure-silica zeolites and identified 230 preeminent zeolites with excellent adsorption performances.

References

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