All Stories

  1. Machine learning using host/guest energy histograms to predict adsorption in metal–organic frameworks: Application to short alkanes and Xe/Kr mixtures
  2. Prediction of hydrogen adsorption in nanoporous materials from the energy distribution of adsorption sites
  3. Molecular modelling and machine learning for high-throughput screening of metal-organic frameworks for hydrogen storage
  4. Diffusive Spreading in Nature, Technology and Society By ArminBunde, JürgenCaro, JörgKärger, and GeroVogl, Editors. Springer: Cham, Switzerland, 2018, 418 pages, $139
  5. Efficient identification of hydrophobic MOFs: application in the capture of toxic industrial chemicals
  6. The materials genome in action: identifying the performance limits for methane storage
  7. A thermodynamic tank model for studying the effect of higher hydrocarbons on natural gas storage in metal–organic frameworks
  8. A MOF platform for incorporation of complementary organic motifs for CO2 binding
  9. A modelling approach for MOF-encapsulated metal catalysts and application to n-butane oxidation
  10. The effect of pyridine modification of Ni–DOBDC on CO2 capture under humid conditions
  11. High-throughput computational screening of metal–organic frameworks
  12. Water adsorption in UiO-66: the importance of defects
  13. A zwitterionic metal–organic framework with free carboxylic acid sites that exhibits enhanced hydrogen adsorption energies