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Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry
Published on: April 8, 2020
Structure prediction of the solid forms of methanol: an ab initio random structure searching approach
Tzu-Jen Lin1, Cheng-Rong Hsing1, Ching-Ming Wei1
1Institute of Atomic and Molecular Sciences, Academic Sinica, Taipei, 10617, Taiwan. tzujenlin999@gmail.com jlkuo@pub.iams.sinica.edu.tw.
Abstract:
Liquid methanol and methanol clusters have been comprehensively studied to reveal their local structure and hydrogen bond networks. However, our understanding of the crystal forms of methanol is rather limited. The known crystal structures of solid methanol, α, β, and γ, are composed of infinite hydrogen bond chains in their unit cell. The structural diversity of solid methanol is much less than that of liquid methanol, in which both chain and ring structures exist and have been confirmed by experiments. In this study, we employed ab initio random structure searching (AIRSS) to study possible solid methanol structures. AIRSS predicted known solid methanol phases as well as various ring structures that have not been considered. A new possible candidate structure for the δ phase was also discovered. The relative stability of known solid methanol phases and our newly discovered structures were also investigated through dispersion corrected density functional theory. The density functional calculation provides reliable phase transition pressures between the known phases and the searched structures compared with experimental suggestions. In addition, the simulation result indicated that CHO hydrogen bonds play a major role in stabilizing the methanol crystals under high pressures.
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