A data-driven interpretation of the stability of molecular crystals

• URL: http://arxiv.org/abs/2209.10709v1
• Date: Wed, 21 Sep 2022 23:32:53 GMT
• Title: A data-driven interpretation of the stability of molecular crystals
• Authors: Rose K. Cersonsky, Maria Pakhnova, Edgar A. Engel, Michele Ceriotti
• Abstract summary: Predicting the stability of crystal structures formed from molecular building blocks is a non-trivial scientific problem. We introduce a structural descriptor tailored to the prediction of the binding energy for a curated dataset of organic crystals. We then interpret this library using a low-dimensional representation of the structure-energy landscape.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Due to the subtle balance of intermolecular interactions that govern structure-property relations, predicting the stability of crystal structures formed from molecular building blocks is a highly non-trivial scientific problem. A particularly active and fruitful approach involves classifying the different combinations of interacting chemical moieties, as understanding the relative energetics of different interactions enables the design of molecular crystals and fine-tuning their stabilities. While this is usually performed based on the empirical observation of the most commonly encountered motifs in known crystal structures, we propose to apply a combination of supervised and unsupervised machine-learning techniques to automate the construction of an extensive library of molecular building blocks. We introduce a structural descriptor tailored to the prediction of the binding energy for a curated dataset of organic crystals and exploit its atom-centered nature to obtain a data-driven assessment of the contribution of different chemical groups to the lattice energy of the crystal. We then interpret this library using a low-dimensional representation of the structure-energy landscape and discuss selected examples of the insights that can be extracted from this analysis, providing a complete database to guide the design of molecular materials.

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