Webinar
Materials Science
- Oct 9, 2024
Webinar Series: From Molecules to Materials Applications
In this webinar series, we present molecular modeling techniques and their transformative impact on Materials Science research using the Schrödinger Materials Science tools.
Webinar
Materials Science
- Sep 11, 2024
Molecular Modeling: A Key to Solving Real-Life Challenges in Pharma Formulations
In this webinar, we describe how the demand for innovative drug delivery methods has driven researchers to explore the intricate structure-property relationships within pharmaceutical formulations.
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 thermodynamic stability and voltage profile of cathode, ion diffusion pathways and kinetics in electrode materials, transport properties of liquid electrolytes and modeling the nucleation and growth of solid electrolyte interphase (SEI) layers using Schrödinger’s SEI simulator module.
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.
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
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.
Events
Event
Life Science
Materials Science
- Aug 25th-29th, 2025
5th Summer School on Cheminformatics 2025
Schrödinger is excited to be participating in the 5th Summer School on Cheminformatics 2025 conference taking place on August 25th – 29th in Hamburg, Germany.
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.
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.
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.
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.
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
- Publication
- May 9, 2025
Efficient long-range machine learning force fields for liquid and materials properties
Weber JL, et al. arXiv, 2025, Preprint- Publication
- Mar 17, 2025
Leveraging high-throughput molecular simulations and machine learning for the design of chemical mixtures
Chew, et al. npj Computational Matererials, 2025, 11, 72- Publication
- Mar 5, 2025
A robust crystal structure prediction method to support small molecule drug development with large scale validation and blind study
Zhou, et al. Nature Communications, 2025, 16, 2210Quick 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
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.
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。
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
White Paper
Materials Science
White Paper
Materials Science
White Paper
Materials Science
Latest insights from Extrapolations blog
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
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
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.
Other Resources