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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.

A paradigm change in the design and optimization of OLED materials using a digital chemistry strategy Webinar Materials Science
  • Jun 22, 2022
A paradigm change in the design and optimization of OLED materials using a digital chemistry strategy

In this webinar, we present the impact of in silico technologies for systematic design, development, and selection of organic optoelectronic materials.

Quick Start Workshop: Materials Simulation for Experimentalists Webinar Materials Science
  • Jun 7, 2022
Quick Start Workshop: Materials Simulation for Experimentalists

In this webinar, learn how an experimentalist can take advantage of simulation and modeling, as well as practical knowledge about how to get started.

  • Documentation
QSite

A multi-scale simulation tool that utilizes the QM/MM method, which combines the principles of quantum mechanics and molecular mechanics.

Schrödinger Materials Science Seminar Japan 2024  Webinar Materials Science
  • Jun 4, 2024
Schrödinger Materials Science Seminar Japan 2024 

《無料Webセミナー》材料開発向けシミュレーション・ソフトウェアおよびマテリアルズ・インフォマティクスの活用事例を紹介。

Taking experimentation digital: Materials innovation using atomistic simulation and machine learning at-scale Webinar Materials Science
  • May 29, 2024
Taking experimentation digital: Materials innovation using atomistic simulation and machine learning at-scale

In this webinar, we introduce a modern approach to materials R&D using a digital chemistry platform for in silico analysis, optimization and discovery.

  • Tutorial
Kinetic Monte Carlo (KMC) Charge Mobility

Learn how to calculate charge mobility in semiconducting molecular devices.

  • Publication
  • Oct 19, 2023
Sub-micro- and nano-sized polyethylene terephthalate deconstruction with engineered protein nanopores

Robles-Martín, et al. Nature Catalysis, 2023, 6, 1174-1185

A chemist’s view on R&D digitalization Webinar Materials Science
  • May 11, 2021
A chemist’s view on R&D digitalization

In this webinar, we illustrate how the integration of Schrödinger’s machine learning technologies with physics based modelling can be utilized to predict properties of new materials.

Materials design in electronics industry: Application of materials informatics and cloud computing environment to the design of organic carrier transport materials Webinar Materials Science
  • Oct 29, 2020
Materials design in electronics industry: Application of materials informatics and cloud computing environment to the design of organic carrier transport materials

In this webinar, results of our trials to introduce such progresses to the materials design in electronic industry will be presented for the case of the design of organic carrier transport materials such as heteroacenes.

Panel discussion: Materials design at scale Webinar Materials Science
Perspectives in Computational Materials Design: Progress and Prospects Webinar Materials Science
  • Aug 6, 2020
Perspectives in Computational Materials Design: Progress and Prospects

In this webinar, we present new strategies for multiparadigm simulations of nanoscale materials with applications to electrocatalysis, Li batteries, micelle formation, and ductile boron carbide.

Events

Accelerating sustainable chemical innovation with physics-powered AI and predictive modeling 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.

Standing out in a competitive landscape: The power of structure-based biologics design Webinar Life Science
  • Jul 29, 2026
Standing out in a competitive landscape: The power of structure-based biologics design

Join our upcoming webinar to learn how to leverage advanced in silico methods to de-risk your molecules and increase your experimental success rates.

Schrödinger Japan Life Sciences User Group Meeting 2026 Event Life Science
  • Jul 30, 2026
Schrödinger Japan Life Sciences User Group Meeting 2026

新規テクノロジーの紹介を始め、実際の創薬プロジェクトでの活用事例を、国内外のユーザー様からのご発表を含めてご紹介します。

Webinars

Accelerating sustainable chemical innovation with physics-powered AI and predictive modeling 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.

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).

Integrating AI and Machine Learning to Accelerate Composite Resin Formulation Webinar Materials Science
  • May 13, 2026
Integrating AI and Machine Learning to Accelerate Composite Resin Formulation

Schrödinger is excited to be hosting a webinar in collaboration with Composites World, taking place on May 13th at 11:00AM EDT.

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
  • 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

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.