Digital design of crystalline solids

Abstract We report on some recent developments to create tools (mathematical models and their implementation as software design aids) to improve the workflow during conceptual design of crystalline solid processes. We focus on one particular tool that is capable of predicting the shape and morphology of crystalline particles using only the following input data, (1) crystal structure, (2) atom-atom force field, and (3) specified solvent. The key outputs are the steady-state growth shape and morphology of the crystals, and the “shape triangle” which gives graphical information about the influence of design variables (temperature, supersaturation, solvent) on the resulting shape and morphology of the crystal. More detailed outputs are also provided (e.g., periodic bond chain networks, growth spiral shapes, etc.) for use by the more sophisticated user. The tool can be used alone or in combination with other tools that have been developed recently to aid in the design of crystallization processes.

[1]  Qiang Shi,et al.  Rubrene micro-crystals from solution routes: their crystallography, morphology and optical properties , 2010 .

[2]  Molecular Modeling on the Role of Local Concentration in the Crystallization of l-Methionine from Aqueous Solution , 2016 .

[3]  Zubin B. Kuvadia,et al.  Spiral Growth Model for Faceted Crystals of Non-Centrosymmetric Organic Molecules Grown from Solution , 2011 .

[4]  Kee-Kahb Koo,et al.  Crystal Morphology Prediction of Hexahydro-1,3,5-trinitro-1,3,5-triazine by the Spiral Growth Model , 2014 .

[5]  Zhenan Bao,et al.  High‐Mobility, Aligned Crystalline Domains of TIPS‐Pentacene with Metastable Polymorphs Through Lateral Confinement of Crystal Growth , 2014, Advanced materials.

[6]  Carl J. Tilbury,et al.  Modeling layered crystal growth at increasing supersaturation by connecting growth regimes , 2017 .

[7]  Carl J. Tilbury,et al.  Modeling Step Velocities and Edge Surface Structures during Growth of Non-Centrosymmetric Crystals , 2017 .

[8]  V. Podzorov,et al.  Organic single-crystal field-effect transistors , 2004 .

[9]  M. Doherty,et al.  A mechanistic growth model for inorganic crystals: Solid‐state interactions , 2014 .

[10]  Carl J. Tilbury,et al.  Modeling Olanzapine Solution Growth Morphologies , 2017 .

[11]  Carl J. Tilbury,et al.  Predicting the Effect of Solvent on the Crystal Habit of Small Organic Molecules , 2016 .

[12]  Zoltan K. Nagy,et al.  Graphical processing unit (GPU) acceleration for numerical solution of population balance models using high resolution finite volume algorithm , 2016, Comput. Chem. Eng..

[13]  Carl J. Tilbury,et al.  Rate Expressions for Kink Attachment and Detachment During Crystal Growth , 2016 .

[14]  M. Doherty,et al.  Predicting crystal growth by spiral motion , 2009, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[15]  M. Doherty,et al.  A mechanistic growth model for inorganic crystals: Growth mechanism , 2014 .

[16]  S. Mannsfeld,et al.  Probing the Anisotropic Field‐Effect Mobility of Solution‐Deposited Dicyclohexyl‐α‐quaterthiophene Single Crystals , 2007 .

[17]  Botond Szilágyi,et al.  Aspect Ratio Distribution and Chord Length Distribution Driven Modeling of Crystallization of Two-Dimensional Crystals for Real-Time Model-Based Applications , 2018, Crystal Growth & Design.

[18]  Shu-sen Chen,et al.  Effects of Additives on ε‐HNIW Crystal Morphology and Impact Sensitivity , 2012 .

[19]  G. Witte,et al.  Rubrene Microcrystals: A Route to Investigate Surface Morphology and Bulk Anisotropies of Organic Semiconductors , 2010 .

[20]  C. Macrae,et al.  Mercury CSD 2.0 – new features for the visualization and investigation of crystal structures , 2008 .

[21]  C. Adjiman,et al.  General computational algorithms for ab initio crystal structure prediction for organic molecules. , 2014, Topics in current chemistry.

[22]  Feng-sheng Li,et al.  Dependence of particle morphology and size on the mechanical sensitivity and thermal stability of octahydro-1,3,5,7-tetranitro-1,3,5,7-tetrazocine. , 2008, Journal of hazardous materials.

[23]  Carl J. Tilbury,et al.  A design aid for crystal growth engineering , 2016 .

[24]  G. Dunteman Principal Components Analysis , 1989 .

[25]  Sarah L Price,et al.  Predicting crystal structures of organic compounds. , 2014, Chemical Society reviews.

[26]  Michael F. Doherty,et al.  Predictive Modeling of Supersaturation-Dependent Crystal Shapes , 2012 .

[27]  T. Palstra,et al.  Low-temperature structure of rubrene single crystals grown by vapor transport. , 2006, Acta crystallographica. Section B, Structural science.