The solvent-mediated crystal morphologies of the α and β polymorphic forms of l-glutamic acid are presented. This work applies a digital mechanistically based workflow that encompasses calculation of the crystal lattice energy and its constituent intermolecular synthons, their interaction energies, and their key role in understanding and predicting crystal morphology as well as assessing the surface chemistry, topology, and solvent binding on crystal habit growth surfaces. Through a comparison between the contrasting morphologies of the conformational polymorphs of l-glutamic acid, this approach highlights how the interfacial chemistry of organic crystalline materials and their inherent anisotropic interactions with their solvation environm...
The crystallization of α-p-aminobenzoic acid (pABA) from mixed solutions in ethanol (EtOH) and nitro...
The control of crystal morphology in industrial crystallization is critical because it significantly...
Purpose: This study describes the development and application of machine-learning models to the pred...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Chemical Engineering, 2010.Cataloge...
The shape of a crystalline organic solid has a major impact on its downstream processing and on its ...
We report a computational method to investigate the mechanism through which the solvent interacts wi...
Intermolecular pairwise interactions (synthons) have previously been used to predict physical proper...
Organic molecular crystals are often the main active ingredient in pharmaceutical drug products. The...
Objective Particle shape can have a significant impact on the bulk properties of materials. This stu...
Objective Particle shape can have a significant impact on the bulk properties of materials. This stu...
Crystallisation is one of the key unit operations in the pharmaceutical industry. A wide range of cr...
Crystallisation is one of the key unit operations in the pharmaceutical industry. A wide range of cr...
Solid-form screening to identify all solid forms of an active pharmaceutical ingredient (API) has be...
The control of crystal morphology in industrial crystallization is critical because it significantly...
The control of crystal morphology in industrial crystallization is critical because it significantly...
The crystallization of α-p-aminobenzoic acid (pABA) from mixed solutions in ethanol (EtOH) and nitro...
The control of crystal morphology in industrial crystallization is critical because it significantly...
Purpose: This study describes the development and application of machine-learning models to the pred...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Chemical Engineering, 2010.Cataloge...
The shape of a crystalline organic solid has a major impact on its downstream processing and on its ...
We report a computational method to investigate the mechanism through which the solvent interacts wi...
Intermolecular pairwise interactions (synthons) have previously been used to predict physical proper...
Organic molecular crystals are often the main active ingredient in pharmaceutical drug products. The...
Objective Particle shape can have a significant impact on the bulk properties of materials. This stu...
Objective Particle shape can have a significant impact on the bulk properties of materials. This stu...
Crystallisation is one of the key unit operations in the pharmaceutical industry. A wide range of cr...
Crystallisation is one of the key unit operations in the pharmaceutical industry. A wide range of cr...
Solid-form screening to identify all solid forms of an active pharmaceutical ingredient (API) has be...
The control of crystal morphology in industrial crystallization is critical because it significantly...
The control of crystal morphology in industrial crystallization is critical because it significantly...
The crystallization of α-p-aminobenzoic acid (pABA) from mixed solutions in ethanol (EtOH) and nitro...
The control of crystal morphology in industrial crystallization is critical because it significantly...
Purpose: This study describes the development and application of machine-learning models to the pred...