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Inverse Design of Metal-Organic Framework Catalysts

Project description

Smarter metal-organic framework design for tailored industrial applications

Metal-organic frameworks (MOFs) are highly versatile materials that have precise, customisable structures, which renders them promising candidates for chemical catalysts. However, their vast design possibilities create challenges when seeking to identify the right MOF for specific applications, such as for selective ethylene oligomerisation – an important reaction in the petrochemical industry. With the support of the Marie Skłodowska-Curie Actions programme, the IMOCAT project plans to devise a protocol to efficiently search the massive chemical space of MOFs that enable catalyst design for this specific reaction. Researchers will combine cuttting-edge computational tools and genetic algorithms to balance MOF activity and selectivity. The ultimate goal is to establish practical design principles that will help researchers create high-performance MOF catalysts for industrial applications.

Objective

Metal-organic frameworks (MOFs) are a class of crystalline porous materials composed of metal nodes connected by organic linkers.
The atomically precise structures of most MOFs offer the opportunity to use them as catalysts that can be fine-tuned for a specific
chemical transformation. However, the primary challenge is their near-infinite combinatorial design space resulting from the large
variety of possible building blocks and the diverse ways they can be assembled. This complexity makes it extremely difficult to
identify a MOF catalyst tailored to a given application. Computational modeling has emerged as a key tool to sort out this myriad of
possibilities and guide experimental efforts. However, straightforward computational screening approaches, the most widely used
strategy thus far, often prove impractical for exploring the vast combinatorial space of MOF catalysts. To address this challenge, the
research project IMOCAT will devise a protocol to efficiently search the massive chemical space of possible MOFs which will enable
the inverse design of new and better catalysts for selective ethylene oligomerization, an important reaction in the petrochemical
industry. To this end, cutting-edge computational tools will be integrated with a genetic algorithm that allows for simultaneous
optimization of MOF building blocks to achieve the desired activity-selectivity tradeoff. The overarching goal of the IMOCAT project is
to derive pragmatic and experimentally relevant catalyst design principles by analyzing the lead MOF candidates. These principles
will then guide experimental researchers in synthesizing MOF catalysts with improved performance for selective ethylene
oligomerization.

Fields of science (EuroSciVoc)

Keywords

Programme(s)

Topic(s)

Funding Scheme

HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships

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Call for proposal

(opens in new window) HORIZON-MSCA-2024-PF-01

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Coordinator

TECHNISCHE UNIVERSITAET DRESDEN
Net EU contribution
€ 217 965,12
Address
HELMHOLTZSTRASSE 10
01069 Dresden
Germany
Region
Sachsen Dresden Dresden, Kreisfreie Stadt
Activity type
Higher or Secondary Education Establishments
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Total cost
No data

Partners (1)