scholarly journals Solid‐State NMR‐Driven Crystal Structure Prediction of Molecular Crystals: The Case of Mebendazole

Author(s):  
Federica Bravetti ◽  
Simone Bordignon ◽  
Edith Alig ◽  
Daniel Eisenbeil ◽  
Lothar Fink ◽  
...  
2010 ◽  
Vol 132 (8) ◽  
pp. 2564-2566 ◽  
Author(s):  
Elodie Salager ◽  
Graeme M. Day ◽  
Robin S. Stein ◽  
Chris J. Pickard ◽  
Bénédicte Elena ◽  
...  

CrystEngComm ◽  
2015 ◽  
Vol 17 (12) ◽  
pp. 2504-2516 ◽  
Author(s):  
Doris E. Braun ◽  
Thomas Gelbrich ◽  
Volker Kahlenberg ◽  
Ulrich J. Griesser

Crystal structure prediction combined with experimental studies unveil the structural and thermodynamic features of three non-solvated forms and a carbon tetrachloride solvate of 4-aminoquinaldine and provide intriguing insights into void structures and the role of solvent inclusion.


2020 ◽  
Author(s):  
Shiyue Yang ◽  
Graeme Day

We describe the implementation of a Monte Carlo basin hopping global optimization procedure for the prediction of molecular crystal structure. The basin hopping method is combined with quasi-random structure generation in a hybrid method for crystal structure prediction, QR-BH, which combines the low-discrepancy sampling provided by quasi-random sequences with basin hopping's efficiency at locating low energy structures. Through tests on a set of single-component molecular crystals and co-crystals, we demonstrate that QR-BH provides faster location of low energy structures than pure quasi-random sampling, while maintaining the efficient location of higher energy structures that are important for identifying important polymorphs.


2019 ◽  
Author(s):  
Peng Cui ◽  
David P. McMahon ◽  
Peter Spackman ◽  
Ben M. Alston ◽  
Marc A. Little ◽  
...  

<a></a><a>Organic molecules tend to close pack to form dense structures when they are crystallized from organic solvents. Porous molecular crystals defy this rule: they typically crystallize with lattice solvent in the interconnected pores. However, the design and discovery of such structures is often challenging and time consuming, in part because it is difficult to predict solvent effects on crystallization. Here, we combine crystal structure prediction (CSP) with a high-throughput crystallization screening method to accelerate the discovery of stable hydrogen-bonded frameworks. We exemplify this strategy by finding new phases of two well-studied molecules in a computationally targeted way. Specifically, we find a new porous polymorph of trimesic acid, δ-<b>TMA</b>, that has a guest free hexagonal pore structure, as well as three new solvent-stabilized diamondoid frameworks</a> of adamantane-1,3,5,7-tetracarboxylic acid (<b>ADTA</b>).


2009 ◽  
Vol 113 (51) ◽  
pp. 16303-16313 ◽  
Author(s):  
Aldi Asmadi ◽  
Marcus A. Neumann ◽  
John Kendrick ◽  
Pascale Girard ◽  
Marc-Antoine Perrin ◽  
...  

2020 ◽  
Author(s):  
Shiyue Yang ◽  
Graeme Day

We describe the implementation of a Monte Carlo basin hopping global optimization procedure for the prediction of molecular crystal structure. The basin hopping method is combined with quasi-random structure generation in a hybrid method for crystal structure prediction, QR-BH, which combines the low-discrepancy sampling provided by quasi-random sequences with basin hopping's efficiency at locating low energy structures. Through tests on a set of single-component molecular crystals and co-crystals, we demonstrate that QR-BH provides faster location of low energy structures than pure quasi-random sampling, while maintaining the efficient location of higher energy structures that are important for identifying important polymorphs.


Author(s):  
Daniel Tchoń ◽  
David Bowskill ◽  
Isaac Sugden ◽  
Piotr Piotrowski ◽  
Anna Makal

New polymorphs of 1,8-diacetylpyrene (2′′AP) exhibit distinct packing-dependent and pressure-dependent luminescence in the solid state and illustrate the usefulness of crystal structure prediction methods.


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