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Methodology
Modeling lipid nanoparticles: Self-assembly and apparent pKa calculation Webinar Life Science Materials Science
  • Nov 6, 2024
Modeling lipid nanoparticles: Self-assembly and apparent pKa calculation

In this webinar, we introduce Schrödinger’s coarse-grained simulation technology that can simulate the formation of LNP structures from a random mixture.

Crystal structure prediction workflow for small molecule drug formulation Webinar Life Science Materials Science
  • Oct 23, 2024
Crystal structure prediction workflow for small molecule drug formulation

In this webinar, we describe how early assessment of crystal polymorphism and thermodynamic solubility continues to be elusive for drug discovery and development despite its critical importance, especially for the ever-increasing fraction of poorly soluble drug candidates.

Molecular-level insight into solubility-enhancement via cosolvents and amorphous solid dispersions Webinar Life Science Materials Science
  • Oct 9, 2024
Molecular-level insight into solubility-enhancement via cosolvents and amorphous solid dispersions

In this webinar, we highlight how molecular models can aid our ability to anticipate challenges prior to candidate selection as well as to quickly understand issues that arise in later stages of development.

Accelerating the Design of Asymmetric Catalysts with Schrödinger’s Digital Chemistry Platform Webinar Materials Science
  • Oct 8, 2024
Accelerating the Design of Asymmetric Catalysts with Schrödinger’s Digital Chemistry Platform

In this webinar, we demonstrate how Schrödinger’s advanced digital chemistry platform can be used to accelerate the direct design and discovery of asymmetric catalysts.

How Physics-based Modeling and Machine Learning Enable Accelerated Development of Battery Materials Webinar Materials Science
  • Oct 1, 2024
How Physics-based Modeling and Machine Learning Enable Accelerated Development of Battery Materials

In this webinar, we focus on examples to demonstrate the application of automated solutions for accurate prediction of thermodynamic stability and voltage profile of cathode materials, 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.

Computational reactivity and catalysis for drug synthesis Webinar Life Science Materials Science
  • Sep 25, 2024
Computational reactivity and catalysis for drug synthesis

In this webinar, will take an in-depth look at how computational modeling is transforming pharmaceutical synthesis.

Efficient Computation of Process Parameters for Controlling the Chemistry of Deposition or Etch Webinar Materials Science
  • Sep 25, 2024
Efficient Computation of Process Parameters for Controlling the Chemistry of Deposition or Etch

In this webinar, we illustrate how atomic-scale DFT can be embedded into higher-level computational schemes for accurate and achievable prediction of the conditions and parameters for controlling chemical processes.

Materials Science Informatics Webinar Materials Science
  • Sep 27, 2024
AI/ML meets physics-based simulations: A new era in complex materials design

In this webinar, we demonstrate the application of this combined approach in designing materials and formulations across diverse materials science applications, from battery electrolytes and fuel mixtures to thermoplastics and OLED devices. 

Harnessing Molecular Modeling to transform innovation in Polymeric Materials and Consumer Packaged Goods Webinar Materials Science
  • Sep 18, 2024
Harnessing Molecular Modeling to transform innovation in Polymeric Materials and Consumer Packaged Goods

In this webinar, we highlight Schrödinger’s Materials Science tools that can accelerate R&D efforts in these scientific domains.

Computationally-Guided Drug Formulation Webinar Series Webinar Life Science Materials Science
  • May 14, 2025
Computationally-Guided Drug Formulation Webinar Series

In this webinar series, we explore how the latest computational modeling tools are impacting the various steps in the pharmaceutical formulation process.

Webinar Series: From Molecules to Materials Applications 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.

Molecular Modeling: A Key to Solving Real-Life Challenges in Pharma Formulations 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.

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 23rd-25th, 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.

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.