- Oct 21, 2022
Sublime Precursors: How Modelling Organometallics at Surfaces Drives Innovation in Materials Processing
In this webinar, we look at simulations of organometallic complexes as precursor molecules for the deposition or etching of materials.
- Sep 22, 2022
Leveraging Atomic Scale Modeling for Design and Discovery of Next-Generation Battery Materials
In this webinar, we demonstrate how Schrödinger’s advanced digital chemistry platform can be leveraged to accelerate the design and discovery of next-generation battery materials with improved properties.
- Sep 15, 2022
Chinese: Driving the development of bio-based polymer materials with molecular simulations | 分子模拟技术推进生物基聚合物材料的发展
生物基聚合物(由可再生资源制成的聚合物材料)的应用正在为各个行业,从消费品包装到碳纤维复合材料,带来整体效益。
- Aug 30, 2022
Exploring the formulations of personal care products using a digital chemistry strategy
In this webinar, we demonstrate how to gain insight of individual ingredient behavior and key properties of components in formulation using multi-scale physics simulations
- Jun 22, 2022
A paradigm change in the design and optimization of OLED materials using a digital chemistry strategy
In this webinar, we present the impact of in silico technologies for systematic design, development, and selection of organic optoelectronic materials.
- Jun 7, 2022
Quick Start Workshop: Materials Simulation for Experimentalists
In this webinar, learn how an experimentalist can take advantage of simulation and modeling, as well as practical knowledge about how to get started.
- Jun 2, 2022
Why designing the next generation of sustainable packaging will rely on digital molecular simulations
In this webinar, we demonstrate how molecular simulation can reproduce and predict experimental mechanical and chemical properties of bio-sourced materials, and provide fundamental insights for product development.
- Apr 14, 2022
How digital molecular simulations will drive the next generation of innovation in reformulation and sustainability of consumer-packaged goods
In this webinar, we present the utility of modeling to develop new products, rationalize product (mis)behavior, and understand how modeling can empower researchers to drive innovation will be highlighted.
- Apr 13, 2022
Driving the Development of Bio-Based Polymers with Molecular Simulation
In this webinar, we’ll explore how research leaders, material scientists and polymer scientists can learn new techniques for screening and evaluating the performance of bio-based polymer materials.
- Mar 30, 2022
How to Adopt the Next-Generation of Materials Screening for Catalysis Discovery: In Silico Design at the Enterprise Scale
In this webinar, learn how catalysts facilitate the creation of almost all synthetic materials we interact with every day.
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.