MS Morph
Efficient modeling tool for organic crystal habit prediction
Efficient modeling tool for organic crystal habit prediction
Crystal morphology critically affects many aspects of drug formulation and manufacturability. To some extent it can be controlled by a suitable choice of solvent and additives and crystallization conditions, such as temperature and supersaturation. Optimized crystal morphology helps to Increase the efficiency of the filtration process of the active pharmaceutical ingredient (API), improve product purity and tabletability, improve API bioavailability, optimize drying, packaging, handling and storage, and comply with toxicity requirements
MS Morph predicts crystal shape (or habits) for molecular crystals based on the surface energies and Wullf’s theorem. It provides valuable insights for crystal growth mode and powder processing.
Get more from your ideas by harnessing the power of large-scale chemical exploration and accurate in silico molecular prediction.
Learn more about the related computational technologies available to progress your research projects.
High-performance molecular dynamics (MD) engine providing high scalability, throughput, and scientific accuracy
Efficient molecular dynamics (MD) simulation tool for predicting liquid viscosity and diffusions of atoms and molecules
Atomistic simulation and analysis of charge mobility in solid-state films of organic semiconductors
Automatic workflow to calculate dielectric properties and refractive index
Level up your skill set with hands-on, online molecular modeling courses. These self-paced courses cover a range of scientific topics and include access to Schrödinger software and support.
Learn how to deploy the technology and best practices of Schrödinger software for your project success. Find training resources, tutorials, quick start guides, videos, and more.