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Methodology
  • Tutorial
Machine Learning for Formulations Containing Proteins

Learn to build machine learning models for formulations including proteins.

  • Tutorial
Catalytic Selectivity Through Microkinetic Modeling

Learn to analyze the selectivity of the catalytic oxidation of CO and H2 on a Pd(111) surface using Microkinetic Modeling (MKM) calculations.

  • Tutorial
Ionic Conductivity

Learn to calculate the ionic conductivity.

  • Tutorial
Locating Adsorption Sites on Surfaces

Learn how to locate adsorption sites on surfaces.

  • Tutorial
Simulating Complex Protein Solutions

Learn to prepare a complex protein system for a Molecular Dynamics (MD) simulation.

  • Tutorial
Creating a Coarse-Grained Model for Protein Formulations

Learn to use the Coarse-Grained Force Field Builder to automatically fit parameters to the Martini coarse-grained force field for a complex protein solution system.

  • Tutorial
Optimizing Viscosity and Cost in Formulations with Missing Structural Data

Learn to build a machine learning (ML) model to predict cost and viscosity of shampoo formulations with missing structural data.

  • 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.

Events

Expanding RetroSynth: Dynamic AI-driven synthesis planning proven to move your designs from bench to synthesis Webinar Life Science
  • Jun 16, 2026
Expanding RetroSynth: Dynamic AI-driven synthesis planning proven to move your designs from bench to synthesis

In this webinar, we revisit RetroSynth, Schrödinger’s AI-powered solution for intelligent synthesis planning.

CPHI & PMEC China 2026 Event Materials Science
  • Jun 16th-18th, 2026
CPHI & PMEC China 2026

Schrödinger is excited to be participating in the CPHI & PMEC China conference taking place on June 16th – 18th in Shanghai, China.

Schrödinger Medicinal Chemistry Symposium 2026 Event Life Science
  • Jun 16, 2026
Schrödinger Medicinal Chemistry Symposium 2026

Join us for the inaugural Schrödinger Medicinal Chemistry Symposium (SMCS), an event specifically curated for the med chem community.

Webinars

Composite resin formulation with AI and machine learning in action Webinar Materials Science
  • Jun 17th-23rd, 2026
Composite resin formulation with AI and machine learning in action

This webinar with demos will demonstrate how integrating ML with molecular simulation enables faster, more informed development of next-generation resin formulations.

Formulation machine learning and optimization for accelerated materials discovery Webinar Materials Science
  • Jun 25, 2026
Formulation machine learning and optimization for accelerated materials discovery

Join our upcoming webinar to learn how your R&D team can leverage automated data driven solutions to guide the design of versatile chemical solutions.

A predictive modeling platform for studying degradation, reactivity, and catalysis of small molecule active pharmaceutical ingredients recording 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

Getting Going with MS Maestro Video Series Video Materials Science
Getting Going with MS Maestro Video Series

A free video series introducing the basics of using Materials Science Maestro.

Launching, Saving and Importing – Getting Going with MS 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.

Navigating the Graphical User Interface – Getting Going with MS Maestro 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
  • Jan 20, 2026
Quantum-Enhanced Neural Exchange-Correlation Functionals

Sokolov, et al. Physical Review A, 2026, 113, 012427

  • Publication
  • Jan 8, 2026
Molecular Dynamics Insights into Ibuprofen Nanocrystal Dissolution Put in the Context of Classical Nucleation Theory

Skrdla, et al. Molecular Pharmaceutics, 2026, 23(2), 1089-1100

  • Publication
  • Jan 3, 2026
Material Property Simulation for Advanced Packaging

Li, et al. Journal of Electronic Materials, 2026, 55, 1664–1673

Case Studies

Advancing sustainable food processing through integrated experimental and molecular simulation approaches 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.

Advancing lipid nanoparticle development with structure-based modeling platform and services Case Study Life Science Materials Science
The Future of Food: Molecular Simulations and AI/ML Reshaping Product Development Case Study Materials Science

White Papers

Quick Reference Sheets

  • Quick Reference Sheet
Simple Sugar Builder

Get an overview of the Simple Sugar Builder.

  • Quick Reference Sheet
Clean Up Structures

Get an overview of the Clean Up Structures Panel.

  • Quick Reference Sheet
Materials Science Panel Explorer

Get an overview of the Materials Science Panel Explorer panel for filtering for tools of interest.

Latest insights from Extrapolations blog

How L’Oreal Uses Digital Simulation to Explore Sustainable Product Ingredients 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
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
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.