We exploit the possible link between structural surface roughness and difficulty of crystallisation. Polymorphs with smooth surfaces may nucleate and crystallise easier than polymorphs with rough surfaces. The concept is applied to crystal structure prediction landscapes and reveals a promising complementary way of ranking putative crystal structures
The ability to anticipate the shape adopted by flexible molecules in the solid state is crucial for ...
In the pharmaceutical industry, the control of a new drug’s crystal form is key to optimise its form...
We describe the implementation of a Monte Carlo basin hopping (BH) global optimization procedure for...
We exploit the possible link between structural surface roughness and difficulty of crystallisation....
Polymorphism in molecular crystals has important consequences for the control of materials propertie...
The notion of structure is central to the subject of chemistry. This review traces the development o...
peer reviewedReliable prediction of the polymorphic energy landscape of a molecular crystal would yi...
Crystal morphology can significantly impact rheological, machining, and loading properties of mater...
Crystal structure prediction methods are prone to overestimate the number of potential polymorphs of...
This contribution reviews the area of polymorph selection during solution crystallization using know...
This work focuses on the sampling and classification of lattice energy landscapes of organic molecul...
We examine the effect of rough surfaces on crystal nucleation by means of kinetic Monte Carlo simula...
The knowledge of the packing behaviour of small organic compounds in crystal lattices is of great im...
We review the current techniques used in the prediction of crystal structures and their surfaces and...
We examine the effect of rough surfaces on crystal nucleation by means of kinetic Monte Carlo simula...
The ability to anticipate the shape adopted by flexible molecules in the solid state is crucial for ...
In the pharmaceutical industry, the control of a new drug’s crystal form is key to optimise its form...
We describe the implementation of a Monte Carlo basin hopping (BH) global optimization procedure for...
We exploit the possible link between structural surface roughness and difficulty of crystallisation....
Polymorphism in molecular crystals has important consequences for the control of materials propertie...
The notion of structure is central to the subject of chemistry. This review traces the development o...
peer reviewedReliable prediction of the polymorphic energy landscape of a molecular crystal would yi...
Crystal morphology can significantly impact rheological, machining, and loading properties of mater...
Crystal structure prediction methods are prone to overestimate the number of potential polymorphs of...
This contribution reviews the area of polymorph selection during solution crystallization using know...
This work focuses on the sampling and classification of lattice energy landscapes of organic molecul...
We examine the effect of rough surfaces on crystal nucleation by means of kinetic Monte Carlo simula...
The knowledge of the packing behaviour of small organic compounds in crystal lattices is of great im...
We review the current techniques used in the prediction of crystal structures and their surfaces and...
We examine the effect of rough surfaces on crystal nucleation by means of kinetic Monte Carlo simula...
The ability to anticipate the shape adopted by flexible molecules in the solid state is crucial for ...
In the pharmaceutical industry, the control of a new drug’s crystal form is key to optimise its form...
We describe the implementation of a Monte Carlo basin hopping (BH) global optimization procedure for...