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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.

Atomic layer deposition: Bridging theory and experiment to design a process for silicon carbonitride Webinar Materials Science
  • Mar 19, 2026
Atomic layer deposition: Bridging theory and experiment to design a process for silicon carbonitride

MAR 19, 2026 | SchrödingerとLam Researchのコラボレーション事例を通じて、計算科学(DFT)と実験(RGA、FTIR)を組み合わせ、最適な前駆体を効率的に選定するアプローチをご紹介します。

The Importance of Human Know-How in AI Execution for Materials R&D Webinar Materials Science
  • Mar 18, 2026
The Importance of Human Know-How in AI Execution for Materials R&D

Join us to explore how Schrödinger’s domain experts integrate these three pillars to streamline material optimization. 

Physics-driven ML to accelerate the design of layered multicomponent electronic devices Webinar Materials Science
  • Feb 10, 2026
Physics-driven ML to accelerate the design of layered multicomponent electronic devices

Schrödinger has developed a machine learning (ML) framework that enables users to predict key performance metrics of multilayered electronic devices from simple, intuitive descriptions of their architecture and operating conditions.

Digital forum on atomic layer deposition: Bridging theory and experiment to design a process for silicon carbonitride Webinar Materials Science
  • Nov 18, 2025
Digital forum on atomic layer deposition: Bridging theory and experiment to design a process for silicon carbonitride

Join us as we discuss how effectively theory and experiment are working together to solve the R&D challenges facing high-tech industries.

Materials Engineering Webinar Materials Science
  • Oct 2, 2025
Accelerating product development with computational materials engineering

Learn how Ansys and Schrödinger are transforming product development with Integrated Computational Materials Engineering (ICME) to accelerate material discovery and innovation.

Advanced-machine-learning-to-accelerate-materials-research_hero Webinar Materials Science
  • Oct 29, 2025
Advancing battery materials innovation using charge-aware machine learning force fields

In this webinar, we will demonstrate how Schrödinger is utilizing an integrated computational approach combining physics-based molecular modeling with machine learning force fields (MLFFs) to address key challenges in battery materials design.

難溶性薬物の放出メカニズムを解明する – ASD研究の新たなアプローチModelling amorphous solid dispersion (ASD) release mechanisms Webinar Materials Science
  • Oct 15, 2025
難溶性薬物の放出メカニズムを解明する – ASD研究の新たなアプローチModelling amorphous solid dispersion (ASD) release mechanisms

AbbVie と Schrödinger のエキスパートが、ASDにおける薬物放出やLoss of Release のメカニズムを、熱力学モデリング・分子シミュレーション・実験研究 を組み合わせた最新の研究成果を基に解説します。

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.

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。

Events

ALD 2026 Event Materials Science
  • Jun 28th – Jul 1st, 2026
ALD 2026

Schrödinger is excited to be participating in the AVS 26th International Conference on Atomic Layer Deposition conference taking place on June 28th – July 1st in Tampa, Florida.

14th Antibody Industrial Symposium 2026 Event Life Science
  • Jun 30th – Jul 1st, 2026
14th Antibody Industrial Symposium 2026

Schrödinger is excited to be participating in the 14th Antibody Industrial Symposium conference taking place on June 30th – July 1st in Montpellier, France.

Frontiers in Digital Chemistry: Tokyo Pharmaceutical Formulation Workshop Event Event Materials Science
  • Jun 30, 2026
Frontiers in Digital Chemistry: Tokyo Pharmaceutical Formulation Workshop Event

「次世代デジタル製剤開発 実践ワークショップ」を開催します。 聴講型のセミナーだけではなく実践的なワークショップをご用意しております。

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
  • 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 3, 2026
Material Property Simulation for Advanced Packaging

Li, et al. Journal of Electronic Materials, 2026, 55, 1664–1673

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.