Enabling Computational Design of ZIFs Using ReaxFF

Yongjian Yang, Yun Kyung Shin, Shichun Li, Thomas D. Bennett, Adri Van Duin, John Mauro

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Classical force fields have been broadly used in studies of metal-organic framework crystals. However, processes involving bond breaking or forming are prohibited due to the nonreactive nature of the potentials. With emerging trends in the study of zeolitic imidazolate frameworks (ZIFs) that include glass formation, defect engineering, and chemical stability, enhanced computational methods are needed for efficient computational screening of ZIF materials. Here, we present simulations of three ZIF compounds using a ReaxFF reactive force field. By simulating the melt-quench process of ZIF-4, ReaxFF can reproduce the atomic structure, density, thermal properties, and pore morphology of the glass formed (agZIF-4), showing remarkable agreement with experimental and first-principles molecular dynamics results. The predictive capability of ReaxFF is further exemplified in the melting of ZIF-62, where the balancing of electronic and steric effects of benzimidazolate yields a lower Tm. On the basis of the electron-withdrawing effect of the -NO2 group, ReaxFF simulations predict that ZIF-77 has an even lower Tm in terms of Zn-N interaction, but its low chemical stability makes it unsuitable as a glass former. Because of its low computational cost and transferability, ReaxFF will enable the computational design of ZIF materials by accounting for properties associated with disorder/defects.

Original languageEnglish (US)
Pages (from-to)9616-9624
Number of pages9
JournalJournal of Physical Chemistry B
Volume122
Issue number41
DOIs
StatePublished - Oct 18 2018

Fingerprint

Chemical stability
Glass
field theory (physics)
glass
Defects
defects
Computational methods
atomic structure
Molecular dynamics
emerging
Screening
Melting
screening
Thermodynamic properties
simulation
thermodynamic properties
Metals
melting
engineering
disorders

All Science Journal Classification (ASJC) codes

  • Physical and Theoretical Chemistry
  • Surfaces, Coatings and Films
  • Materials Chemistry

Cite this

Yang, Yongjian ; Kyung Shin, Yun ; Li, Shichun ; Bennett, Thomas D. ; Van Duin, Adri ; Mauro, John. / Enabling Computational Design of ZIFs Using ReaxFF. In: Journal of Physical Chemistry B. 2018 ; Vol. 122, No. 41. pp. 9616-9624.
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Enabling Computational Design of ZIFs Using ReaxFF. / Yang, Yongjian; Kyung Shin, Yun; Li, Shichun; Bennett, Thomas D.; Van Duin, Adri; Mauro, John.

In: Journal of Physical Chemistry B, Vol. 122, No. 41, 18.10.2018, p. 9616-9624.

Research output: Contribution to journalArticle

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