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Methodology
Characterizing small drug-like molecules with automated computational spectra prediction Webinar Life Science Materials Science
  • Sep 11, 2024
Characterizing small drug-like molecules with automated computational spectra prediction

In this webinar, we present examples that demonstrate the use of Jaguar Spectroscopy to typical modeling scenarios involving flexible drug-like molecules.

Organic Electronics Webinar Materials Science
  • Aug 7, 2024
Leveraging atomistic simulation, machine learning, and cloud-based collaborative ideation for display materials discovery

In this webinar, we explore the union of physics-based simulations, machine learning (ML), and cloud-native collaboration and informatics tools in revolutionizing R&D innovation for display materials.

Computational Catalysis at Schrödinger Webinar Materials Science
  • Aug 6, 2024
Computational Catalysis at Schrödinger

In this webinar, we highlight the digital simulation tools specifically for Catalysis & Reactivity.

Electrodes, electrolytes & interfaces: Harnessing molecular simulation and machine learning for rapid advancements in battery materials development Webinar Materials Science
  • Jun 26, 2024
Electrodes, electrolytes & interfaces: Harnessing molecular simulation and machine learning for rapid advancements in battery materials development

In this webinar, we demonstrate the application of automated solutions for accurate prediction of electrode materials.

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.

Beyond AI: The importance of physics-based simulations in next generation food design Webinar Materials Science
  • May 9, 2024
Beyond AI: The importance of physics-based simulations in next generation food design

In this webinar, we explore how physics-based simulations are used in food research and the synergy that can be achieved when they are combined with machine learning models.

Introducing PyMOL 3: Bring your biochemistry to life with 3D molecular visualization and movie making Webinar Life Science Materials Science
  • Apr 25, 2024
Introducing PyMOL 3: Bring your biochemistry to life with 3D molecular visualization and movie making

With PyMOL 3, we take molecular visualization to new heights – empowering scientists, educators, marketers, and communicators to bring their science to life.

Automated digital prediction of chemical degradation products Webinar Materials Science
  • Apr 10, 2024
Automated digital prediction of chemical degradation products

In this webinar, we present Schrödinger’s enhanced Nanoreactor, expanding upon the tool developed by Grimme and co-workers with many new features, including improved energy refinement of results and integrated user interface.

Chemical innovation for regulatory changes: Leveraging digital simulations for efficient molecular design Webinar Materials Science
  • Feb 28, 2024
Chemical innovation for regulatory changes: Leveraging digital simulations for efficient molecular design

In this webinar, we explore how digital simulations and molecular modeling tools can be leveraged to better screen substitute chemistry.

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.

Materials Science Informatics Webinar Materials Science
  • Oct 10, 2023
Data-driven materials innovation: Where machine learning meets physics

In this webinar, we demonstrate how Schrödinger’s tools can help overcome these common challenges by using a combination of physics-based simulation data, enterprise informatics, and chemistry-informed ML.

Events

ACS Spring 2026 Event Life Science Materials Science
  • Mar 22nd-26th, 2026
ACS Spring 2026

Schrödinger is excited to be participating in the ACS Spring 2026 conference taking place on March 22nd – 26th in Atlanta, Georgia.

International Battery Seminar & Exhibit 2026 Event Materials Science
  • Mar 23rd-26th, 2026
International Battery Seminar & Exhibit 2026

Schrödinger is excited to be participating in the International Battery Seminar & Exhibit 2026 taking place on March 23rd – 26th in Orlando, Florida.

NextGen BioMed 2026 Event Life Science
  • Mar 25, 2026
NextGen BioMed 2026

Schrödinger is excited to be participating in the NextGen BioMed 2026 conference taking place on March 24th – 25th in London, United Kingdom.

Webinars

Beyond the bench: Getting started with molecular dynamics simulations Webinar Materials Science
  • Mar 31, 2026
Beyond the bench: Getting started with molecular dynamics simulations

Join Schrödinger’s Katie Dahlquist, as she’ll show you how Desmond can be used to improve your development.

Fast, accurate, and tunable: Advancing battery materials innovation with Schrödinger’s Machine Learning Force Fields Webinar Materials Science
  • Apr 15, 2026
Fast, accurate, and tunable: Advancing battery materials innovation with Schrödinger’s Machine Learning Force Fields

Join us for live demos showcasing applications of MLFFs for accurate modeling of complex systems including liquid and solid-state electrolytes.

Transforming Clean Label Innovation in FMCG via Physics-Powered AI and Predictive Modeling Webinar Materials Science
  • Apr 16, 2026
Transforming Clean Label Innovation in FMCG via 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.

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 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 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 1, 2026
Insights into electrolyte reactivity at the Li metal surface from density functional theory

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

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
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.

  • Quick Reference Sheet
Coarse Grained Mapping

Get an overview of the Coarse Grained Mapping panel for mapping all-atom structures to coarse grained models.

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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.