All Stories

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