Background

Content Library

Filter

Type
Topic
Product
Methodology
Molecular dynamics to understand the origin of the preferred orientation of phosphorescent dyes in OLEDs Webinar Materials Science
  • Oct 27, 2020
Molecular dynamics to understand the origin of the preferred orientation of phosphorescent dyes in OLEDs

In this webinar, learn why emitting dipole orientation (EDO) is an important issue of emitting materials in organic light-emitting diodes for an increase of outcoupling efficiency of light.

Consumer Packaged Goods Webinar Materials Science
  • Aug 10, 2020
Surfactant chemistry development for consumer packaged goods enhanced by atomic scale simulation

In this webinar, we present case studies on how physic-based chemical simulation in the Schrödinger Materials Science Suite can be used to help predict and rationalize performance determining properties of surfactants for the CPG market applications.

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.

Learning to Taste: Application of Deep Learning to Predict the Sweetness of Small Organic Molecules Webinar Materials Science
  • Aug 6, 2020
Learning to Taste: Application of Deep Learning to Predict the Sweetness of Small Organic Molecules

In this webinar, we demonstrate that these advanced machine learning models are highly efficient in classifying the molecules as bitter/sweet.

Enumeration as a Computational Strategy for Automating the Design of CVD and ALD Precursors Webinar Materials Science
  • Jul 8, 2020
Enumeration as a Computational Strategy for Automating the Design of CVD and ALD Precursors

In this webinar, we present the success of chemical-based deposition and etch depends primarily on the choice of gas-phase chemicals.

Automated High-throughput In Silico Reaction Screening for Design and Discovery of Enhanced Reactivity and Tailored Chemo-, Regio-, and Stereo-selectivity Webinar Materials Science
  • May 20, 2020
Automated High-throughput In Silico Reaction Screening for Design and Discovery of Enhanced Reactivity and Tailored Chemo-, Regio-, and Stereo-selectivity

In this webinar, learn how first-principles simulation has become a reliable tool for the prediction of structures, chemical mechanisms, and reaction energetics for the fundamental steps in catalysis.

Efficient and Accurate Modeling of Thermosets via a Synergistic Combination of Quantum Mechanics and Molecular Dynamics Simulations Webinar Materials Science
  • May 14, 2020
Efficient and Accurate Modeling of Thermosets via a Synergistic Combination of Quantum Mechanics and Molecular Dynamics Simulations

In this webinar, we demonstrate that a synergistic combination of QM and MD simulation enables the generation of realistic thermoset polymer morphologies and reliable prediction of their properties.

Multiscale modeling of polymer composites Webinar Materials Science
  • May 7, 2020
Multiscale modeling of polymer composites

In this webinar, individual simulations at the quantum and atomistic level will be discussed as well as connection between the two.

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
Machine Learning Force Fields

Machine Learning Force Fields (MLFFs) offer a novel approach for predicting the energies of arbitrary systems.

  • Documentation
MS Transport

Efficient molecular dynamics (MD) simulation tool for predicting liquid viscosity and diffusions of atoms and molecules.

  • Documentation
MS Surface

A solution for heterogeneous catalysis and materials processing.

Events

EFMC-ASMC 2025 Event Life Science Materials Science
  • Aug 31st – Sep 4th, 2025
EFMC-ASMC 2025

Schrödinger is excited to be participating in the EFMC-ASMC 2025 conference taking place on August 31st – September 4th in Porto, Portugal.

Innovations in Digital Chemistry: Computational Approaches for Drug & Materials Discovery Webinar Life Science Materials Science
  • Sep 2nd-16th, 2025
Innovations in Digital Chemistry: Computational Approaches for Drug & Materials Discovery

This webinar series will explore how cutting-edge computational methods are revolutionizing the design and optimization of pharmaceutical drugs, biologics , and advanced materials.

13th Crystal Forms Convention Event Life Science Materials Science
  • Sep 7th-9th, 2025
13th Crystal Forms Convention

Schrödinger is excited to be participating in the 13th Crystal Forms Convention conference taking place on September 7th – 9th in Bologna, Italy.

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: Disordered System Builder Video Materials Science
Schrödinger’s Materials Science Builder Series: Disordered System Builder

The video demonstrates how to use the Disordered System Builder within Schrödinger’s Materials Science Suite to prepare systems for molecular dynamics simulations.

Schrödinger’s Materials Science Builder Series: 2D Sketcher Video Materials Science
Schrödinger’s Materials Science Builder Series: 2D Sketcher

This video demonstrates how to use the 2D Sketcher within Schrödinger’s Materials Science Maestro for building and editing molecules, covering its toolbar, drawing area, and various palettes.

Publications

Quick Reference Sheets

  • 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.

  • Quick Reference Sheet
ML Model Manager

Get an overview of the ML Model Manager for organizing and retraining outdated ML models.

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

Innovations in Digital Chemistry: Computational Approaches for Drug & Materials Discovery Webinar Life Science Materials Science
  • Sep 2nd-16th, 2025
Innovations in Digital Chemistry: Computational Approaches for Drug & Materials Discovery

This webinar series will explore how cutting-edge computational methods are revolutionizing the design and optimization of pharmaceutical drugs, biologics , and advanced materials.

Advancing machine learning force fields for materials science applications 最新機能 MPNICEのご紹介 Webinar Materials Science
  • Sep 18, 2025
Advancing machine learning force fields for materials science applications 最新機能 MPNICEのご紹介

シュレーディンガーが開発した最先端のMLFFアーキテクチャ「MPNICE(Message Passing Network with Iterative Charge Equilibration)」をご紹介します。

Accelerating Product Development: The Industrial Shift to AI/ML-Driven Formulation Webinar Materials Science
  • Sep 18, 2025
Accelerating Product Development: The Industrial Shift to AI/ML-Driven Formulation

In this discussion, we explore the rapidly evolving role of modeling and machine learning in formulation design; from a supplementary tool to a driving force of innovation.

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.