A Research Agenda for Transforming Separation Science (2019) / Chapter Skim
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researchers. As highlighted by the 1987 National vances that have affected separations, outlines remaining Academies report Separation and Purification: Critical gaps and challenges, and suggests key research directions.
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Tremendous and throughput are related to the measurement and per- advances have been made in increasing the capacity of a formance of separation materials in complex and highly target species and in improving selectivity for removal of variable environments in contrast with the simplified test one component from a binary mixture. However, separacases that form the basis of most current fundamental re- tion materials seldom perform as desired when used, for search.
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There are also opportunities to apply nontraditional external driving forces, such as mi Separation scientists have explored numerous mech- crowaves, optical fields, and magnetic fields. anisms to achieve chemical separations with specially designed materials, such as electrostatic interactions, hydro- Theme 2: Understanding Temporal Changes phobic interactions, molecular sieving and size exclusion, That Occur in Separation Systems and reversible chemical reactions.
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That information then needs to be combined CROSS-CUTTING CONCEPTS with modeling and simulation to predict degradation from unwanted chemical reactions so that preventive strategies Three concepts emerged throughout the development can be identified. A long-term challenge for experimen- of each research theme regardless of specific research ditalists and computational modelers in this field will be to rection: the importance of synthesis science; the need for describe the long-term cumulative effects of degradation standard systems, samples, and methods; and the need to that takes place as separation materials evolve during ex- incorporate data science, molecular modeling, and simutended use.
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principal investigators drawn from different disciplines with diverse expertise will be needed to perform all the Recommendation: The research community should use theoretical, computational, and experimental research data science, modeling, and simulation with experimental needed to advance the frontiers. Intersecting disciplines measurements to develop a fundamental understanding include material science, physics, biochemistry, enviof separation materials in complex environments and at ronmental engineering, information science, molecular multiple scales.
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Advances in data science and machine proved human health and environment. The transformalearning will facilitate the design and synthesis of robust tion could also affect affiliated fields of science and enseparation materials through improved modeling and gineering and lead the way toward design of hierarchical simulation.
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