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Methodology
In silico materials development: Integrating atomistic simulation into academic chemistry and engineering labs Webinar Materials Science
  • Dec 12, 2023
In silico materials development: Integrating atomistic simulation into academic chemistry and engineering labs

In this webinar, we explore Schrödinger’s leading physics-based and machine learning computational technologies and provide a comprehensive introduction to the capabilities of computational modeling in chemistry, materials science, and engineering.

Machine learning force fields for improved materials modeling White Paper Materials Science
Consumer Packaged Goods Webinar Materials Science
  • Jun 28, 2023
Cutting-Edge Cosmetics: Innovating for Sustainability with Machine Learning & Molecular Simulations

In this webinar, we explore the challenges chemists face, and how new approaches can help find solutions quicker.

Advanced-machine-learning-to-accelerate-materials-research_hero White Paper Materials Science
De Novo Design_WhitePaper_hero Case Study Materials Science
Battery Tech – Leveraging Atomic Scale Modeling for Design and Discovery of Next-Generation Battery Materials Webinar Materials Science
  • Mar 29, 2023
Battery Tech – Leveraging Atomic Scale Modeling for Design and Discovery of Next-Generation Battery Materials

In this webinar, we present an advanced digital chemistry platform for developing next-generation battery materials with improved properties.

Accelerating catalysis and reactivity r&d with atomic-scale simulation, machine learning, and enterprise informatics_hero White Paper Materials Science
Develop cleaner, safer energy materials with digital chemistry Webinar Materials Science
  • Mar 10, 2023
Chinese: 利用原子尺度建模设计和发现下一代电池材料 | Leveraging Atomic Scale Modeling for Design and Discovery of Next-Generation Battery Materials

This webinar discussed how to drive the development of novel battery materials with molecular simulations.

Accelerating the design and optimization of OLED materials using active learning White Paper Materials Science
Driving-innovation-in-polymer-r&d-with-molecular-simulation-&-machine-learning_hero White Paper Materials Science
Sublime Precursors: How Modelling Organometallics at Surfaces Drives Innovation in Materials Processing Webinar Materials Science
  • Oct 21, 2022
Sublime Precursors: How Modelling Organometallics at Surfaces Drives Innovation in Materials Processing

In this webinar, we look at simulations of organometallic complexes as precursor molecules for the deposition or etching of materials.

Leveraging Atomic Scale Modeling for Design and Discovery of Next-Generation Battery Materials Webinar Materials Science
  • Sep 22, 2022
Leveraging Atomic Scale Modeling for Design and Discovery of Next-Generation Battery Materials

In this webinar, we demonstrate how Schrödinger’s advanced digital chemistry platform can be leveraged to accelerate the design and discovery of next-generation battery materials with improved properties.

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

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

AABC 2025 Event Materials Science
  • Dec 8th-11th, 2025
AABC 2025

Schrödinger is excited to be participating in the AABC 2025 conference taking place on December 8th – 11th in Las Vegas, Nevada.

Designing better biologics: A blueprint for leveraging in silico methods in biologics R&D EU Webinar Life Science
  • Dec 9, 2025
Designing better biologics: A blueprint for leveraging in silico methods in biologics R&D EU

In this exclusive webinar, our experts will provide a technical overview of our unique, physics-based approach to protein engineering and customizable in silico workflow, and discuss several relevant examples.

Scaling FEP+ for success: Strategic deployment of FEP+ and AI/ML to accelerate chemical space exploration Webinar Life Science
  • Dec 10, 2025
Scaling FEP+ for success: Strategic deployment of FEP+ and AI/ML to accelerate chemical space exploration

Join us to map out your strategy for maximizing the organizational impact of FEP+ and to achieve the full potential of your computational drug discovery and business goals. 

Training Videos

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

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

Schrödinger’s Materials Science Builder Series: Single Complex Builder 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.

Schrödinger’s Materials Science Builder Series: Enumerate Adsorbates 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
  • Jan 1, 2026
Insights into electrolyte reactivity at the Li metal surface from density functional theory

Agarwal, et al. Computational Materials Science, 2026, 261, 114278

Quick 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

Getting started in polymer compute-driven design: Predicting glass transition temperature in the Materials Science Suite Webinar Materials Science
  • Dec 11, 2025
Getting started in polymer compute-driven design: Predicting glass transition temperature in the Materials Science Suite

Learn from a live demo of building polymers and polymer formulations and running a Tg prediction workflow.

医薬品原薬形態開発における計算手法の活用 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。

Digital forum on atomic layer deposition: Bridging theory and experiment to design a process for silicon carbonitride 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.

White Papers

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.