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

npj Computational Materials(2023)

引用 9|浏览53
暂无评分
摘要
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.
更多
查看译文
关键词
Atomistic models,Chemical engineering,Metal–organic frameworks,Materials Science,general,Characterization and Evaluation of Materials,Mathematical and Computational Engineering,Theoretical,Mathematical and Computational Physics,Computational Intelligence,Mathematical Modeling and Industrial Mathematics
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要