- 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.
- 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.
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
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.
Events
Event
Life Science
- Nov 3rd-5th, 2025
BIO Europe 2025
Schrödinger is excited to be participating in the BIO Europe 2025 conference taking place on November 3rd – 5th in Vienna, Austria.
Event
Life Science
Materials Science
- Nov 9th-12th, 2025
AAPS PharmSci360 2025
Schrödinger is excited to be participating in the AAPS PharmSci360 conference taking place on November 9th – 12th in San Antonio, Texas.
Event
Materials Science
- Nov 12th-14th, 2025
高機能素材Week 出展 @幕張メッセ
展示ブースでは、セミナー開催のほか、先進の技術について専門技術者が解説し、お客様からのご質問にお答えします。 出展ゾーン：高機能プラスチック展 小間番号：15-10
Training Videos
Video
Materials Science
Getting Going with Materials Science Maestro Video Series
A free video series introducing the basics of using Materials Science Maestro.
Video
Materials Science
Schrödinger’s Materials Science Builder Series: Single Complex Builder
The video demonstrates how to use the Single Complex Builder panel within Schrödinger’s Materials Science Suite to build organometallic complexes.
Video
Materials Science
Schrödinger’s Materials Science Builder Series: Enumerate Adsorbates
The video demonstrates how to use the Enumerate Adsorbates panel within Schrödinger’s Materials Science Suite to build adsorbate structures for when a gas-phase molecule adsorbs on a solid substrate.
Publications
- Publication
- May 9, 2025
Efficient long-range machine learning force fields for liquid and materials properties
Weber JL, et al. arXiv, 2025, Preprint- Publication
- Mar 17, 2025
Leveraging high-throughput molecular simulations and machine learning for the design of chemical mixtures
Chew, et al. npj Computational Matererials, 2025, 11, 72- Publication
- Mar 5, 2025
A robust crystal structure prediction method to support small molecule drug development with large scale validation and blind study
Zhou, et al. Nature Communications, 2025, 16, 2210Quick Reference Sheets
- Quick Reference Sheet
Materials Science Panel Explorer
Get an overview of the Materials Science Panel Explorer panel for filtering for tools of interest.
- Quick Reference Sheet
Coarse Grained Mapping
Get an overview of the Coarse Grained Mapping panel for mapping all-atom structures to coarse grained models.
- Quick Reference Sheet
Visualize Restraints
Get an overview of the Visualize Restraints panel for displaying restraints in a cms structure.
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.
Webinars
Webinar
Materials Science
- Nov 13, 2025
Accelerating product development with computational materials engineering
Learn how Ansys and Schrödinger are transforming product development with Integrated Computational Materials Engineering (ICME) to accelerate material discovery and innovation.
Webinar
Materials Science
- Nov 18, 2025
Digital forum on atomic layer deposition: Bridging theory and experiment to design a process for silicon carbonitride
Join us as we discuss how effectively theory and experiment are working together to solve the R&D challenges facing high-tech industries.
Webinar
Life Science
Materials Science
- Nov 26, 2025
医薬品原薬形態開発における計算手法の活用
NOV 26, 2025 | 演者が考える研究段階から開発段階にかけての原薬形態選択の戦略の全体像を概説し、さらにデザインスペースの構築に計算的手法を用いた共結晶スクリーニングと、結晶構造予測による原薬形態のリスク評価の実例を紹介します。
White Papers
White Paper
Materials Science
White Paper
Materials Science
White Paper
Materials Science
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