Research output per year
Research output per year
Benjamin Meyer, Senja Barthel, Amber Mace, Laurent Vannay, Benoit Guillot, Berend Smit, Clémence Corminboeuf*
Research output: Contribution to Journal › Article › Academic › peer-review
The study of organic molecular crystals under high pressure provides fundamental insight into crystal packing distortions and reveals mechanisms of phase transitions and the crystallization of polymorphs. These solid-state transformations can be monitored directly by analyzing electron charge densities that are experimentally obtained at high pressure. However, restricting the analysis to the featureless electron density does not reveal the chemical bonding nature and the existence of intermolecular interactions. This shortcoming can be resolved by the use of the DORI (density overlap region indicator) descriptor, which is capable of simultaneously detecting both covalent patterns and noncovalent interactions from electron density and its derivatives. Using the biscarbonyl[14]annulene crystal under pressure as an example, we demonstrate how DORI can be exploited on experimental electron densities to reveal and monitor changes in electronic structure patterns resulting from molecular compression. A novel approach based on a flood-fill-type algorithm is proposed for analyzing the topology of the DORI isosurface. This approach avoids the arbitrary selection of DORI isovalues and provides an intuitive way to assess how compression packing affects covalent bonding in organic solids.
Original language | English |
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Pages (from-to) | 1482-1488 |
Number of pages | 7 |
Journal | Journal of Physical Chemistry Letters |
Volume | 10 |
Issue number | 7 |
DOIs | |
Publication status | Published - 4 Apr 2019 |
Externally published | Yes |
This work has been supported by EPFL and the National Centre of Competence in Research (NCCR) Materials Revolution: Computational Design and Discovery of Novel Materials (MARVEL) of the Swiss National Science Foundation (SNSF). S.B. and B.S. are supported by the European Research Council (ERC) under the European Unions Horizon 2020 research and innovation program (grant agreement no. 666983, MaGic). A.M. thanks the Swedish Council (VR) for financing (project number 2015-06320). This work was supported by a grant from the Swiss National Supercomputing Centre (CSCS) under project ID s761. We thank Ganna Gryn’ova for the graphical content. We thank Piotr de Silva for his past contribution and discussions associated with DORI.
Funders | Funder number |
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Swedish Council | |
Swiss National Supercomputing Centre | |
Horizon 2020 Framework Programme | 666983 |
European Research Council | |
École Polytechnique Fédérale de Lausanne | |
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung | |
Vetenskapsrådet | 2015-06320 |
Horizon 2020 | |
National Centre of Competence in Research Robotics |
Research output: Contribution to Journal › Article › Academic › peer-review