Free learning resources
Quickly learn how to integrate Schrödinger technology into your research. From overviews to deep dives, you can find information about applications, workflows, and analysis here.
Quickly learn how to integrate Schrödinger technology into your research. From overviews to deep dives, you can find information about applications, workflows, and analysis here.
A free video series introducing the basics of using Materials Science Maestro.
An introduction to Materials Science Maestro, covering basic navigation, an intro to building models and several of the key functionalities of the graphical user interface.
Comprehensive reference documentation covering materials science panels and workflows.
Self-guided step-by-step introductions to various workflows with example files for getting comfortable with Schrödinger tools.
Short video overviews of specific introductory and scientific topics, including summaries of new release features.
A one-page PDF that visually describes the panel or workflow.
Learn to prepare and simulate a coarse-grained formulation containing ibuprofen and beta-cyclodextrin with the Martini force field.
Build a surfactant model with coarse-grained representations of PEG and water, perform and analyze simulations on the model.
Build a coarse-grained polymer chain and use it to construct an amorphous cell for a dissipative particle dynamics simulation.
Import, manipulate and build crystal structures.
Learn to model adsorption of small molecules on a surface via a multi-step workflow.
Learn to model the transition state of a reaction of a small molecule on a surface via the nudged elastic band method.
Learn to generate intercalation voltage curves.
Learn to predict optoelectronic properties using active learning models for a series of iridium complexes.
Generate descriptors for inorganic periodic crystal systems which can be used to build machine learning models.
Generate descriptors for polymers which can be used to build machine learning models.
Generate descriptors using molecular dynamics simulation, which can be used to build machine learning models.
Generate descriptors for ionic liquids which can be used to build machine learning models.
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.
Connect your students to industry-leading molecular modeling software through a web-based platform. Incorporate molecular modeling in the classroom.