The field of metal organic frameworks (MOFs) and related nanoporous materials is still one of the most active fields in chemistry. Over the last 10 years more than 65’000 new MOFs have been reported in the Cambridge Crystallographic Database.&lt;span style=font-size:10.8333px"&gt; &lt;/span&gt;To this we have to add many millions of predicted materials that have been generated in silico. Having so many materials and the potential of even creating many more illustrate the potential of this field in designing a material that is optimal for a given separaion. However, in obtaining this ultimate goal of MOF design, to select exactly the right linker metal node combination and MOF structure that is optimal for a given application, there are some fundament and applied knowledge gaps. Separation is the single most important Chemical Engineering unit operation that is responsible for a ever increasing part of our energy consumption. In such a scenario our vision is that the chemical tunability flexibility offered by MOFs and related porous materials allows to tailor make materials that are optimal for any given separation. We show with argue that this aim can be achieved by integrating materials and process design by taking optimal advantage of the developments in data science and computational chemistry. We illustrate this point with some examples of carbon capture processes.<br/>

Novel materials for carbon capture: Integrating process design and materials genomics

Macromolecular Chemistry: The Second Century

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ACS Spring 2020 National Meeting & Expo

The official archive and repository for all ACS Meetings & Expositions abstracts and select posters or presentations.