High-throughput screening of hypothetical metal-organic frameworks for thermal conductivity

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Abstract

Thermal energy management in metal-organic frameworks (MOFs) is an important, yet often neglected, challenge for many adsorption-based applications such as gas storage and separations. Despite its importance, there is insufficient understanding of the structure-property relationships governing thermal transport in MOFs. To provide a data-driven perspective into these relationships, here we perform large-scale computational screening of thermal conductivity k in MOFs, leveraging classical molecular dynamics simulations and 10,194 hypothetical MOFs created using the ToBaCCo 3.0 code. We found that high thermal conductivity in MOFs is favored by high densities (> 1.0 g cm−3), small pores (< 10 Å), and four-connected metal nodes. We also found that 36 MOFs exhibit ultra-low thermal conductivity (< 0.02 W m−1 K−1), which is primarily due to having extremely large pores (~65 Å). Furthermore, we discovered six hypothetical MOFs with very high thermal conductivity (> 10 W m−1 K−1), the structures of which we describe in additional detail.

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Islamov, M., Babaei, H., Anderson, R., Sezginel, K. B., Long, J. R., McGaughey, A. J. H., … Wilmer, C. E. (2023). High-throughput screening of hypothetical metal-organic frameworks for thermal conductivity. Npj Computational Materials, 9(1). https://doi.org/10.1038/s41524-022-00961-x

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