- Tutorial
Building and Analyzing a Complex Lipid Bilayer and Embedding a Membrane Protein
Learn to build and analyze a complex lipid bilayer and how to embedd a protein.
- Tutorial
Computational Ellipsometry
Learn how to compute the refractive index and extinction coefficient of systems of organic optoelectronics.
- Tutorial
Machine Learning Force Field
Learn how to use machine learning force field optimization methods to prepare and simulate various systems.
- Tutorial
Nanoemulsions with Automated DPD Parameterization
Learn how to automatically build a coarse-grained force field for dissipative particle dynamics (DPD) from a nanoemulsions system with water and perform a molecular dynamics simulation.
- Tutorial
Umbrella Sampling
Learn to calculate the free energy profile for butanol permeation through a DMPC membrane using umbrella sampling.
- Tutorial
Applied Machine Learning for Formulations
Learn to apply the Formulation Machine Learning Panel across a range of materials applications. This tutorial assumes that you have already completed the Machine Learning for Formulations tutorial.
- Tutorial
Optimization of Formulations Using Machine Learning
Learn to build machine learning (ML) models to predict distinct properties of formulations and leverage these models to optimize formulations for desired target properties.
- Tutorial
Machine Learning for OLED Device Design
Learn to train a machine learning model to predict properties of OLED devices and subsequently apply this trained model to predict target properties for new OLED devices unseen during training.
- Tutorial
Thermal Conductivity
Learn to use the Thermal Conductivity Calculation and Results panels to calculate thermal conductivity.
- Tutorial
Automated Martini Fitting for Coarse-Grained Simulations
Use the Coarse-Grained Force Field builder to automatically fit parameters for the Martini coarse-grained force field, utilizing all-atom systems as the reference for various systems.
- Tutorial
Ab initio Molecular Dynamics Simulations of Li-ion Diffusion in Solid State Electrolytes
Learn to perform an ab initio molecular dynamics simulation and calculate the Li-ion diffusion in a solid state electrolyte.
Events
Event
Life Science
- Sep 13th-16th, 2026
30th National Meeting on Medicinal Chemistry 2026
Schrödinger is excited to be participating in the 30th National Meeting on Medicinal Chemistry 2026 conference taking place on September 13th – 16th in Messina, Italy.
Event
Life Science
- Sep 13th-16th, 2026
EUROTOX 2026
Schrödinger is excited to be participating in the EUROTOX 2026 conference taking place on September 13th – 16th in Vienna, Austria.
Event
Life Science
- Sep 15th-16th, 2026
Schrödinger Live Cambridge 2026
This two-day, in-person user group meeting (UGM) event will bring together scientists and industry professionals to exchange ideas, explore new approaches, and connect with peers across the industry.
Webinars
Webinar
Life Science
Materials Science
- Sep 23, 2026
Bunsen: Where Validated Scientific Workflows Meet Agentic AI
Join Schrödinger CTO Pat Lorton for an introduction to Bunsen. Pat will share how Bunsen allows researchers to set up, run, and troubleshoot multi-stage workflows without command-line friction or manual setup.
Webinar
Materials Science
- Jul 23, 2026
Accelerating sustainable chemical innovation with physics-powered AI and predictive modeling
Join us for a webinar with Innovation Research Interchange and learn how the Fast-Moving Consumer Goods (FMCG) sector is currently navigating a significant transition driven by a global consumer shift toward “clean label” products and high-transparency ingredient lists.
Webinar
Materials Science
- Jun 3, 2026
A predictive modeling platform for studying degradation, reactivity, and catalysis of small molecule active pharmaceutical ingredients recording
In this webinar, we present recent advances in automated, end-to-end solutions for studying degradation, reactivity, and catalysis of active pharmaceutical ingredients (APIs).
Documentation
- Documentation
Complex Bilayer Builder Panel
Build single or multi-component lipid membranes with or without an embedded membrane protein.
- Documentation
Membrane Analysis Panel
Calculate structural properties for a lipid membrane over the selected frames of a trajectory.
- Documentation
Membrane Analysis Viewer Panel
View plots of the structural properties of a lipid over the course of a molecular dynamics trajectory, generated using the Membrane Analysis panel.
Tutorials
- Tutorial
Introduction to Materials Science Maestro Tutorial
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.
- Tutorial
Disordered System Building and Molecular Dynamics Multistage Workflows
Learn to use the Disordered System Builder and Molecular Dynamics Multistage Workflow panels to build and equilibrate model systems.
- Tutorial
Introduction to Geometry Optimizations, Functionals and Basis Sets
Perform geometry optimizations on simple organic molecules and learn basics regarding functionals and basis sets.
Training Videos
Video
Materials Science
Getting Going with MS Maestro Video Series
A free video series introducing the basics of using Materials Science Maestro.
Video
Materials Science
Launching, Saving and Importing – Getting Going with MS Maestro
Learn Launching, Saving and Importing in the Getting Going with Materials Science (MS) Maestro Video Series.
Video
Materials Science
Navigating the Graphical User Interface – Getting Going with MS Maestro
Learn how to navigate the Graphical User Interface in the Getting Going with Materials Science (MS) Maestro Video Series.
Publications
- Publication
- Jun 3, 2026
Data-Driven Design of Organic Semiconductors Exhibiting Low Reorganization Energy via Hierarchical Variational Autoencoders, Gaussian Mixture Regression, and Bayesian Optimization
Nakanishi, et al. Journal of Chemical Information and Modeling, 2026, 66(12), 7034–7045
- Publication
- May 27, 2026
Digital Discovery of Large-Scale Optoelectronic Materials via MPNICE Machine-Learning Force Fields
Abroshan, et al. Physical Chemistry Chemical Physics, 2026, 28(24), 14764–14774
- Publication
- Apr 23, 2026
Multiobjective Design of Electrolyte Solvents via Physics-Based Modeling and Reinforcement Learning
Afzal, et al. ACS Applied Engineering Materials, 2026, 4(5), 2140–2150
Case Studies
Case Study
Materials Science
- Jul 11, 2025
Advancing sustainable food processing through integrated experimental and molecular simulation approaches
Scientists from Schrödinger and UMass carried out comprehensive studies experimentally and computationally to investigate the key properties and extrusion performance of zein-formulated meat alternatives.
Case Study
Life Science
Materials Science
Case Study
Materials Science
White Papers
White Paper
Materials Science
White Paper
Materials Science
White Paper
Materials Science
Quick Reference Sheets
- Quick Reference Sheet
Coarse-Grained Backmapping
Get an overview of the Coarse-Grained Backmapping panel.
Latest insights from Extrapolations blog
Blog
How L’Oreal Uses Digital Simulation to Explore Sustainable Product Ingredients
Most of us could name at least one cosmetic or personal care product that’s essential to looking and feeling our best. Whether it’s a specific kind of soap, a brand of mascara, the right shade of lipstick or the shampoo that works best for our hair, these products have become a critical part of our daily routine.
Uncovering Better Materials for the Spacecraft of Tomorrow
When it comes to solving problems for his job, the work done by Dr. Levi Moore actually is rocket science. As a research chemist with the United States Air Force Research Laboratory, he’s tasked with helping to develop new materials that make it easier and safer to launch rockets into space.
Sustainable Food Packaging Designed at the Atomic Level
Each year, an estimated 330 million metric tonnes of plastic are produced globally. A significant portion of that plastic becomes waste, clogging landfills, rivers, and the ocean for centuries, damaging ecosystems and negatively impacting human health.
Training & Resources
Online certification courses
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.
Free learning resources
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.
Other Resources