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Toward Desirable Metal Organic Framework Mixed Matrix Materials through Machine learning-guided Interface Design

CORDIS · observation · Publication date unknown

Toward Desirable Metal Organic Framework Mixed Matrix Materials through Machine learning-guided Interface Design Metal Organic Framework Mixed Matrix Materials (M4s) are prototyped for many applications such as separating membranes, drug delivery systems and fire-safe plastics. Like all composites, the premise of M4s is to achieve greater properties than those of their isolated components. Yet, the interface between the components determines whether the synergy between the components is achieved or the overall performance is diminished due to their incompatibility. In principle, the interface can be designed by selection and chemical modification of the components involved. However, in practice such design is a very challenging endeavor. Atomistic simulations can predict the structure of the interface, from which the component compatibility may be inferred. Similarly, mechanical testing of the composites may reveal some qualitative characteristics of the in

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award

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SIGNED

region

EU

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181152.96

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EUR