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Methodology
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.

Complex Formulations Webinar Materials Science
  • Dec 19, 2022
Overview of Molecular Modelling for Formulations

In this webinar, we give an overview of molecular modeling calculations relevant for formulations in the pharmaceuticals, inks, 3D printing, polymers, batteries and agricultural chemicals industries.

  • Publication
  • Oct 29, 2024
Photooxygenation reactions under flow conditions: An experimental and in-silico study
Moroni, et al. Organic Chemistry, 2024, Preprint
  • Publication
  • Jul 28, 2024
Optimization of fluorinated phenyl azides as universal photocrosslinkers for semiconducting polymers
Tan, et al. Nature Communications, 2024, 15, 6354
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 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.

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。

  • Tutorial
Kinetic Monte Carlo (KMC) Charge Mobility

Learn how to calculate charge mobility in semiconducting molecular devices.

  • Tutorial
Bond and Ligand Dissociation Energy

Calculate the energy associated with the fragmentation of a parent molecule at various dissociation sites.

Case Studies

Documentation

  • Documentation
AutoTS

Documentation for Auto TS (Transition States): an automated workflow to find transition states, particularly for elementary, molecular reactions.

  • Documentation
Active Learning Applications

Active Learning Glide documentation including online help and user manual.

  • Documentation
Materials Science Documentation

Comprehensive reference documentation covering materials science panels and workflows.

Events

RICT 2025 Event Life Science
  • Jul 2nd-4th, 2025
RICT 2025

Schrödinger is excited to be participating in the RICT – 59th International Conference on Medicinal Chemistry conference taking place on July 2nd – 4th in Orléans, France.

Digital and AI-Driven Materials Innovation Event Materials Science
  • Jul 8, 2025
Digital and AI-Driven Materials Innovation

We hope you can join us at The Hong Kong University of Science and Technology (HKUST) in Hong Kong, on July 8th for the Digital and AI-Driven Materials Innovation Symposium.

IFT First Annual Event and Expo 2025 Event Materials Science
  • Jul 13th-16th, 2025
IFT First Annual Event and Expo 2025

Schrödinger is excited to be participating in the IFT First Annual Event and Expo 2025 conference taking place on June 13th – 16th in Chicago, Illinois.

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.

Polymers: Schrödinger’s Materials Science Builder Series Video Materials Science
Polymers: Schrödinger’s Materials Science Builder Series

This video showcases a workflow for polymer modeling, including building, simulating, and analyzing polymer models, and exporting to PyMOL for movie creation.

Building Small Molecules in MS Maestro Video Materials Science
Building Small Molecules in MS Maestro

The sixth video in the Getting Going with Materials Science (MS) Maestro Video Series: 2D Sketcher, 3D Builder, and Force Field Minimization.

Publications

Quick Reference Sheets

  • Quick Reference Sheet
Microkinetics Deposition Analysis

Get an overview of the Microkinetics Deposition Analysis panel analyzing microkinetic modeling calculation results for deposition processes.

  • Quick Reference Sheet
CREST

Get an overview of the CREST panel covering conformational search for small molecule using CREST.

  • Quick Reference Sheet
Refractive Index

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

Organic Electronics Webinar Materials Science
  • Jun 19, 2025
Schrödinger 디지털 플랫폼 솔루션을 응용한 디스플레이 소재/소자 및 배터리 소재 기술의 혁신

최근 계산과학과 신소재기술의 발전에 힘입어, 컴퓨터를 활용한 디지털 재료 설계 솔루션을 보다 쉽고 빠르게 연구개발에 적용할 수 있는 기회가 마련되었습니다.

Accelerating chemical innovation with AI/ML: Breakthroughs across materials applications Webinar Materials Science
  • Jun 17, 2025
Accelerating chemical innovation with AI/ML: Breakthroughs across materials applications

In this webinar, we will explore how AI/ML is driving impactful advancements in materials innovation, highlighting case studies that illustrate cutting-edge ML techniques in diverse applications.

Modelling amorphous solid dispersion (ASD) release mechanisms Webinar Life Science Materials Science
  • Jun 10, 2025
Modelling amorphous solid dispersion (ASD) release mechanisms

In this webinar, AbbVie and Schrödinger will present the results of a study using a combination of Perturbed-Chain Statistical Associating Fluid Theory (PC-SAFT) thermodynamic modeling and molecular simulation to investigate the release mechanism and the occurrence LoR of an ASD formulation.

White Papers

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.