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.
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.
Webinar
Materials Science
- Aug 6, 2024
Computational Catalysis at Schrödinger
In this webinar, we highlight the digital simulation tools specifically for Catalysis & Reactivity.
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.
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。
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.
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.
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.
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.
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.
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.
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
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.
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.
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
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.
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.
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
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
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
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
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
White Papers
White Paper
Materials Science
White Paper
Materials Science
White Paper
Materials Science
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.
Latest insights from Extrapolations blog
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.