npj Computational Materials (Jan 2023)

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

  • Meiirbek Islamov,
  • Hasan Babaei,
  • Ryther Anderson,
  • Kutay B. Sezginel,
  • Jeffrey R. Long,
  • Alan J. H. McGaughey,
  • Diego A. Gomez-Gualdron,
  • Christopher E. Wilmer

DOI
https://doi.org/10.1038/s41524-022-00961-x
Journal volume & issue
Vol. 9, no. 1
pp. 1 – 12

Abstract

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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 W m−1 K−1), the structures of which we describe in additional detail.