Nanoporous Materials Genome: Methods and Software to Optimize Gas Storage, Separations, and Catalysis (Phase 2)

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• Fingerprinting diverse nanoporous materials for optimal hydrogen storage conditions using meta-learning

  Sun, Y., DeJaco, R. F., Li, Z., Tang, D., Glante, S., Sholl, D. S., Colina, C. M., Snurr, R. Q., Thommes, M., Hartmann, M. & Siepmann, I., Data Repository for the University of Minnesota, May 19 2021

  https://conservancy.umn.edu/handle/11299/220168

  Dataset