- Oct 27, 2020
Molecular dynamics to understand the origin of the preferred orientation of phosphorescent dyes in OLEDs
In this webinar, learn why emitting dipole orientation (EDO) is an important issue of emitting materials in organic light-emitting diodes for an increase of outcoupling efficiency of light.
- Aug 10, 2020
Surfactant chemistry development for consumer packaged goods enhanced by atomic scale simulation
In this webinar, we present case studies on how physic-based chemical simulation in the Schrödinger Materials Science Suite can be used to help predict and rationalize performance determining properties of surfactants for the CPG market applications.
- Aug 6, 2020
Perspectives in Computational Materials Design: Progress and Prospects
In this webinar, we present new strategies for multiparadigm simulations of nanoscale materials with applications to electrocatalysis, Li batteries, micelle formation, and ductile boron carbide.
- Aug 6, 2020
Learning to Taste: Application of Deep Learning to Predict the Sweetness of Small Organic Molecules
In this webinar, we demonstrate that these advanced machine learning models are highly efficient in classifying the molecules as bitter/sweet.
- Jul 8, 2020
Enumeration as a Computational Strategy for Automating the Design of CVD and ALD Precursors
In this webinar, we present the success of chemical-based deposition and etch depends primarily on the choice of gas-phase chemicals.
- May 20, 2020
Automated High-throughput In Silico Reaction Screening for Design and Discovery of Enhanced Reactivity and Tailored Chemo-, Regio-, and Stereo-selectivity
In this webinar, learn how first-principles simulation has become a reliable tool for the prediction of structures, chemical mechanisms, and reaction energetics for the fundamental steps in catalysis.
- May 14, 2020
Efficient and Accurate Modeling of Thermosets via a Synergistic Combination of Quantum Mechanics and Molecular Dynamics Simulations
In this webinar, we demonstrate that a synergistic combination of QM and MD simulation enables the generation of realistic thermoset polymer morphologies and reliable prediction of their properties.
- May 7, 2020
Multiscale modeling of polymer composites
In this webinar, individual simulations at the quantum and atomistic level will be discussed as well as connection between the two.
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
- Aug 31st – Sep 4th, 2025
EFMC-ASMC 2025
Schrödinger is excited to be participating in the EFMC-ASMC 2025 conference taking place on August 31st – September 4th in Porto, Portugal.
- Sep 2nd-16th, 2025
Innovations in Digital Chemistry: Computational Approaches for Drug & Materials Discovery
This webinar series will explore how cutting-edge computational methods are revolutionizing the design and optimization of pharmaceutical drugs, biologics , and advanced materials.
- Sep 7th-9th, 2025
13th Crystal Forms Convention
Schrödinger is excited to be participating in the 13th Crystal Forms Convention conference taking place on September 7th – 9th in Bologna, Italy.
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
- Sep 2nd-16th, 2025
Innovations in Digital Chemistry: Computational Approaches for Drug & Materials Discovery
This webinar series will explore how cutting-edge computational methods are revolutionizing the design and optimization of pharmaceutical drugs, biologics , and advanced materials.
- 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。
- 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.
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.