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High-Throughput Experimentation, Theoretical Modeling, and Human Intuition: Lessons Learned in Metal–Organic-Framework-Supported Catalyst Design

Catalysis Machine Learning Reticular Frameworks

Publication Details

  • Authors: K. E. McCullough, D. S. King, S. P. Chheda, M. S. Ferrandon, T. A. Goetjen, Z. H. Syed, T. R. Graham, N. M. Washton, O. K. Farha, L. Gagliardi, and M. Delferro
  • Publication Number: 442
  • Year: 2023
  • Journal: ACS Cent. Sci.
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Full Citation

K. E. McCullough, D. S. King, S. P. Chheda, M. S. Ferrandon, T. A. Goetjen, Z. H. Syed, T. R. Graham, N. M. Washton, O. K. Farha, L. Gagliardi, and M. Delferro, High-Throughput Experimentation, Theoretical Modeling, and Human Intuition: Lessons Learned in Metal–Organic-Framework-Supported Catalyst Design, ACS Cent. Sci., 2023, 9, 266–276. DOI: 10.1021/acscentsci.2c01422