Data-driven future for nanofiltration: escaping linearity

HIGHLIGHTS

  • who: Big data et al. from the King Abdullah University of Thuwal, Saudi Arabia have published the research work: Data-driven future for nanofiltration: Escaping linearity, in the Journal: (JOURNAL)
  • what: To address these challenges, the authors propose four important pillars for the future of membrane materials and process development. The authors propose the extensive use of density functional theory-aided structure-property relationship methods to understand solute transport process at a molecular level.
  • future: From the perspective of membrane science macro level process modeling corresponds to the accurate simulation of hydrodynamic and . . .

     

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