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.
Webinar
Materials Science
- 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.
Webinar
Materials Science
- 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.
- Documentation
QSite
A multi-scale simulation tool that utilizes the QM/MM method, which combines the principles of quantum mechanics and molecular mechanics.
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。
Webinar
Materials Science
- May 29, 2024
Taking experimentation digital: Materials innovation using atomistic simulation and machine learning at-scale
In this webinar, we introduce a modern approach to materials R&D using a digital chemistry platform for in silico analysis, optimization and discovery.
- Tutorial
Kinetic Monte Carlo (KMC) Charge Mobility
Learn how to calculate charge mobility in semiconducting molecular devices.
- Publication
- Oct 19, 2023
Sub-micro- and nano-sized polyethylene terephthalate deconstruction with engineered protein nanopores
Robles-Martín, et al. Nature Catalysis, 2023, 6, 1174-1185
Webinar
Materials Science
- 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.
Webinar
Materials Science
- 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.
Webinar
Materials Science
Webinar
Materials Science
- 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.
Events
Event
Life Science
- Mar 18th-20th, 2026
AI Convergence 2026
Schrödinger is excited to be participating in the AI Convergence: Small Molecule Drug Discovery Summit 2026 taking place on March 18th – 20th in Boston, Massachusetts.
Webinar
Materials Science
- Mar 19, 2026
Atomic layer deposition: Bridging theory and experiment to design a process for silicon carbonitride
MAR 19, 2026 | SchrödingerとLam Researchのコラボレーション事例を通じて、計算科学(DFT)と実験(RGA、FTIR)を組み合わせ、最適な前駆体を効率的に選定するアプローチをご紹介します。
Event
Materials Science
- Mar 19th-20th, 2026
Future Food Tech 2026
Schrödinger is excited to be participating in the Future Food Tech 2026 conference taking place on March 19th – 20th in San Francisco, California.
Webinars
Webinar
Materials Science
- Mar 19, 2026
Atomic layer deposition: Bridging theory and experiment to design a process for silicon carbonitride
MAR 19, 2026 | SchrödingerとLam Researchのコラボレーション事例を通じて、計算科学(DFT)と実験(RGA、FTIR)を組み合わせ、最適な前駆体を効率的に選定するアプローチをご紹介します。
Webinar
Materials Science
- Mar 31, 2026
Beyond the bench: Getting started with molecular dynamics simulations
Join Schrödinger’s Katie Dahlquist, as she’ll show you how Desmond can be used to improve your development.
Webinar
Materials Science
- Apr 15, 2026
Fast, accurate, and tunable: Advancing battery materials innovation with Schrödinger’s Machine Learning Force Fields
Join us for live demos showcasing applications of MLFFs for accurate modeling of complex systems including liquid and solid-state electrolytes.
Documentation
- Documentation
Complex Bilayer Builder Panel
Build single or multi-component lipid membranes with or without an embedded membrane protein.
- Documentation
Membrane Analysis Panel
Calculate structural properties for a lipid membrane over the selected frames of a trajectory.
- Documentation
Membrane Analysis Viewer Panel
View plots of the structural properties of a lipid over the course of a molecular dynamics trajectory, generated using the Membrane Analysis panel.
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.
Training Videos
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: Single Complex Builder
The video demonstrates how to use the Single Complex Builder panel within Schrödinger’s Materials Science Suite to build organometallic complexes.
Schrödinger’s Materials Science Builder Series: Enumerate Adsorbates
The video demonstrates how to use the Enumerate Adsorbates panel within Schrödinger’s Materials Science Suite to build adsorbate structures for when a gas-phase molecule adsorbs on a solid substrate.
Publications
- Publication
- Jan 20, 2026
Quantum-Enhanced Neural Exchange-Correlation Functionals
Sokolov, et al. Physical Review A, 2026, 113, 012427
- Publication
- Jan 8, 2026
Molecular Dynamics Insights into Ibuprofen Nanocrystal Dissolution Put in the Context of Classical Nucleation Theory
Skrdla, et al. Molecular Pharmaceutics, 2026, 23(2), 1089-1100
- Publication
- Jan 1, 2026
Insights into electrolyte reactivity at the Li metal surface from density functional theory
Agarwal, et al. Computational Materials Science, 2026, 261, 114278
Case Studies
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.
Case Study
Life Science
Materials Science
Case Study
Materials Science
White Papers
White Paper
Materials Science
White Paper
Materials Science
White Paper
Materials Science
Quick Reference Sheets
- Quick Reference Sheet
Materials Science Panel Explorer
Get an overview of the Materials Science Panel Explorer panel for filtering for tools of interest.
- Quick Reference Sheet
Coarse Grained Mapping
Get an overview of the Coarse Grained Mapping panel for mapping all-atom structures to coarse grained models.
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.