Crystal structure predictions for disordered halobenzenes

Literature Information

Publication Date 2002-09-02
DOI 10.1039/B206088D
Impact Factor 3.676
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Abstract

Two existing force fields were adjusted for optimal reproduction of the crystal structures and lattice energies of halogenated benzenes and naphthalenes. Crystal structure predictions, including structures with two independent molecules, were made for 21 compounds. It was found that the two force fields, with different functional forms, led to comparable values for the energy of the experimental structures with respect to the global energy minima. These force fields were used for the prediction of disorder in para-substituted benzenes, without using other experimental data. This was done by artificially creating disorder in the most promising hypothetical ordered structures, and comparing the excess energy with RT ln 2. Predictions of the occurrence of orientational disorder in asymmetrically substituted compounds were in agreement with experimental evidence. A comparable approach was followed to study the possibility of mixed crystals consisting of two symmetrically substituted para-dihalobenzenes. It appeared to be possible to estimate the randomization energy for mixtures consisting of two isomorphic compounds. However, the question whether or not such isomorphic compounds will exist in the real world could not be answered with the currently available force fields and methods.

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Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics
CiteScore: 5.5
Self-citation Rate: 10.3%
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Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.

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