- Mar 29, 2022
Advancing the Understanding of the Starch Structure-function Relationship with Molecular Simulation
In this webinar, learn how the use of molecular dynamics simulations provides critical insight into the structural and dynamic properties of amorphous starch structures.
- Sep 9, 2021
How to use Atomistic Simulations of Polymers in an Industrial Setting
In this webinar, we review case studies where this connection has been made and leveraged with molecular simulation in consumer packaging and adhesive materials.
- Aug 17, 2021
Moving Beyond Spreadsheets: Rational Design of Materials Using Advanced Informatics and Machine Learning
In this webinar, Schrödinger’s Dr. Yuling An will demonstrate that machine learning, which often ignores the underlying physics, and physics-based modeling, which may require intensive computing resources, can naturally complement each other to create not only predictive models but also new materials with desired properties over an extensive design space.
- Jul 22, 2021
Data Scarcity? No Problem. Combining Machine Learning and Physics-based Simulations for Smart Design of Materials
In this webinar, we demonstrate this idea over a few recent case studies including in organic electronics, aerospace, automotive, and semiconductor industry.
- May 11, 2021
A chemist’s view on R&D digitalization
In this webinar, we illustrate how the integration of Schrödinger’s machine learning technologies with physics based modelling can be utilized to predict properties of new materials.
- May 10, 2021
Chinese webinar: Polymer innovation with computational chemistry
In this webinar, we review computational chemistry developed for polymers and how it has become a practical tool for polymer research engineers and scientists to have in their toolbox.
- Apr 28, 2021
Leveraging a molecular modeling platform to drive innovation in flavors and ingredients research for the food and beverage industry
In this webinar, we explore the state of the art in molecular modeling of flavors and ingredients.
- Apr 8, 2021
Accelerating innovation for polymeric materials with molecular modeling
In this webinar, we review how molecular modeling has become a practical and important tool for polymer research engineers and scientists to have in their toolbox.
- Oct 29, 2020
Materials design in electronics industry: Application of materials informatics and cloud computing environment to the design of organic carrier transport materials
In this webinar, results of our trials to introduce such progresses to the materials design in electronic industry will be presented for the case of the design of organic carrier transport materials such as heteroacenes.
Case Studies
- 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.
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
- Oct 16, 2025
248th ECS Meeting
Schrödinger is excited to be participating in the 248th ECS Meeting taking place on October 12th – 16th in Chicago, Illinois.
- 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.
- 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.
Training Videos
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
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
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
- 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.
- 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.
- 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。
White Papers
Latest insights from Extrapolations blog
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.