A Design Principle for Predicting Flexible Metal-Organic Frameworks

MSCA (Marie Skłodowska-Curie)HORIZON-TMA-MSCA-PF-EFID: 101107360
EC Contribution
€1,738
Consortium Size
2 orgs
Start Year
2023
Summary

Metal-organic frameworks, MOFs, are porous organic-inorganic hybrid materials that hold the potential for developing newtechnologies to tackle some of the pressing global challenges such as pollution, climate change and energy crisis. Their typical lowmass densities, high internal surface area, large pore volumes and facile chemistry makes them suitable for application in gas storage,filtration, extraction, catalysis and so on. Some MOFs are known to show a substantial degree of structural flexibility wherein theframework reversibly expands/contracts when subjected to external stimuli like pressure/heat/light or during absorption/desorption.This structural flexibility, if fully understood, can be used to enable the technological development of MOF-based recyclable filters,switchable catalysts, threshold sensors, stimulus-induced drug delivery systems with integrated key-lock functionality, compressiblegas tanks and so on. However, the origin of this flexibility has not yet been sufficiently understood to enable the rational design offlexible MOFs. This research project aims to provide a conceptual understanding on the origin of this flexibility at the atomic regimeby analysing all unique building units, topologies, and frameworks of all published MOFs to design a universally robust metric forpredicting flexibility and mechanical properties of MOFs with the overarching goal of providing a theoretical methodology for thecrystal engineering of flexible MOFs.

Consortium (2)

Project Results (6)

Source: CORDIS, the EU research results database.

Publications (3)
A framework for evaluating the chemical knowledge and reasoning abilities of large language models against the expertise of chemists
Nature Chemistry· 2025DOI
Adrian Mirza; Nawaf Alampara; Sreekanth Kunchapu; Martiño Ríos-García; Benedict Emoekabu; Aswanth Krishnan; Tanya Gupta; Mara Schilling-Wilhelmi; Macjonathan Okereke; Anagha Aneesh; Mehrdad Asgari; Juliane Eberhardt; Amir Mohammad Elahi; Hani M. Elbeheiry; María Victoria Gil; Christina Glaubitz; Maximilian Greiner; Caroline T. Holick; Tim Hoffmann; Abdelrahman Ibrahim; Lea C. Klepsch; Yannik Köster; Fabian Alexander Kreth; Jakob Meyer; Santiago Miret; Jan Matthias Peschel; Michael Ringleb; Nicole C. Roesner; Johanna Schreiber; Ulrich S. Schubert; Leanne M. Stafast; A. D. Dinga Wonanke; Michael Pieler; Philippe Schwaller; Kevin Maik Jablonka
The Black Hole Strategy: Gravity-Based Representative Sampling for Frugal Graph Learning on Metal–Organic Framework Networks
Journal of Chemical Information and Modeling· 2025DOI
Mehrdad Jalali, A. D. Dinga Wonanke, Pascal Friederich, Christof Wöll
Engineering Photoswitching Dynamics in 3D Photochromic Metal–Organic Frameworks through a Metal–Organic Polyhedron Design
Journal of the American Chemical Society· 2024DOI
Eunji Jin; Volodymyr Bon; Shubhajit Das; A. D. Dinga Wonanke; Martin Etter; Martin A. Karlsen; Ankita De; Nadine Bönisch; Thomas Heine; Stefan Kaskel
Deliverables (2)
Other Results (1)
Periodic Reporting for period 1 - FlexiMOFs-2 (A Design Principle for Predicting Flexible Metal-Organic Frameworks)