Engineering
MAPS provides access to a series of tools such as Machine Learning models, chemical descriptor generators and other physical/chemical descriptors based on SAFT family of equation of states. The combination of these tools in complex workflows provide a complete framework for product design.
SCITHERM Plugin
Predict physical properties of single component and multicomponent mixtures
SCIPHARMA Plugin
Tool for calculating solubility of pharmaceuticals by using a PC-SAFT-based approach
MAPS DATABASE Plugin
Improve your workflows and avoid repeated work by saving your molecules, experiments and study tables into shared database(s)
QSAR Plugin
Build quantitative structure activity relationships (QSAR/QSPR) from thousands of molecular descriptors, to describe biological activity or empirical molecular properties
ALVADESC DESCRIPTORS
More that 5000 chemical descriptors available in a MAPS study table for the development of Machine Learning models
PYTHON SCRIPTING
Scripting makes it possible to automate tasks in MAPS and al-lows the user to extend or customize functionality