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SAMPE Europe 2025 Event Materials Science
  • Oct 7, 2025
SAMPE Europe 2025

Schrödinger is excited to be participating in the SAMPE Europe 2025 conference taking place on October 6th – 7th in Amsterdam, Netherlands.

The Battery Show 2025 Event Materials Science
  • Oct 6th-9th, 2025
The Battery Show 2025

Schrödinger is excited to be participating in the Battery Show 2025 conference taking place on October 6th – 9th in Detroit, Michigan.

Structure-based discovery of highly potent dihydroorotate dehydrogenase inhibitors for once-monthly malaria chemoprevention Webinar Life Science
  • Oct 8, 2025
Structure-based discovery of highly potent dihydroorotate dehydrogenase inhibitors for once-monthly malaria chemoprevention

In this webinar, Zhe Nie, medicinal chemist and project leader at Schrödinger, and Margaret Phillips, professor at UT Southwestern Medical School, Dallas, will be in conversation sharing how their teams worked collaboratively towards the discovery of novel DHODH inhibitors.

BioJapan 出展 @パシフィコ横浜 Event Life Science
  • Oct 8th-10th, 2025
BioJapan 出展 @パシフィコ横浜

展示ブースでは、創薬課題を短期間・定額・高精度で解決する受託解析サービスをご紹介します。ぜひお立ち寄りください。 小間番号:C-19

6th EFMC² Tandem Talks Event Life Science
  • Oct 9, 2025
6th EFMC² Tandem Talks

Schrödinger is excited to be participating in the 6th EFMC² Tandem Talks virtual event taking place on October 9th.

248th ECS Meeting Event Materials Science
  • Oct 12th-16th, 2025
248th ECS Meeting

Schrödinger is excited to be participating in the 248th ECS Meeting taking place on October 12th – 16th in Chicago, Illinois.

Lunch & Learn: Informatics for Medicinal Chemists Event Life Science
  • Oct 13, 2025
Lunch & Learn: Informatics for Medicinal Chemists

Schrödinger therefore invites you to a specialized and free-of-charge “Lunch & Learn” workshop on Monday, October 13th at the Clayton Hotel Cambridge, designed to tackle these exact workflows and collaboration challenges.

What Drug Hunters need to know about Computational Chemistry 2025 Event Life Science
  • Oct 14th-15th, 2025
What Drug Hunters need to know about Computational Chemistry 2025

Schrödinger is excited to be participating in the What Drug Hunters need to know about Computational Chemistry 2025 conference taking place on October 14th – 15th in London, United Kingdom. 

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。

SEPAWA CONGRESS 2025 Event Materials Science
  • Oct 15th-17th, 2025
SEPAWA CONGRESS 2025

Schrödinger is excited to be participating in the SEPAWA CONGRESS 2025 conference taking place on October 15th – 17th in Berlin, Germany.

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.

Schrödinger デジタル創薬セミナー: Into the Clinic ~計算化学がもたらす創薬プロセスの変貌~ 第20回 Webinar Life Science

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

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.

  • Documentation
MS Surface

A solution for heterogeneous catalysis and materials processing.

Events

SAMPE Europe 2025 Event Materials Science
  • Oct 7, 2025
SAMPE Europe 2025

Schrödinger is excited to be participating in the SAMPE Europe 2025 conference taking place on October 6th – 7th in Amsterdam, Netherlands.

The Battery Show 2025 Event Materials Science
  • Oct 6th-9th, 2025
The Battery Show 2025

Schrödinger is excited to be participating in the Battery Show 2025 conference taking place on October 6th – 9th in Detroit, Michigan.

Structure-based discovery of highly potent dihydroorotate dehydrogenase inhibitors for once-monthly malaria chemoprevention Webinar Life Science
  • Oct 8, 2025
Structure-based discovery of highly potent dihydroorotate dehydrogenase inhibitors for once-monthly malaria chemoprevention

In this webinar, Zhe Nie, medicinal chemist and project leader at Schrödinger, and Margaret Phillips, professor at UT Southwestern Medical School, Dallas, will be in conversation sharing how their teams worked collaboratively towards the discovery of novel DHODH inhibitors.

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: Disordered System Builder 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.

Schrödinger’s Materials Science Builder Series: 2D Sketcher 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

Quick 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

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。

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.

Materials Engineering Webinar Materials Science
  • Nov 13, 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.

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.