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.
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.
Case Studies
Case Study
Life Science
Materials Science
Case Study
Materials Science
Case Study
Materials Science
Documentation
- Documentation
KNIME Extensions
Schrödinger KNIME extensions of more than 160 nodes and provides access to a wealth of ligand- and structure-based tools from the Schrödinger Suite.
- Documentation
Force Field Builder
Customize torsions not explicitly included in the OPLS4 or OPLS5 force field by fitting to quantum-mechanical calculations for a set of molecules.
Events
Event
Materials Science
- Jul 8, 2025
Digital and AI-Driven Materials Innovation
We hope you can join us at The Hong Kong University of Science and Technology (HKUST) in Hong Kong, on July 8th for the Digital and AI-Driven Materials Innovation Symposium.
Event
Materials Science
- Jul 13th-16th, 2025
IFT First Annual Event and Expo 2025
Schrödinger is excited to be participating in the IFT First Annual Event and Expo 2025 conference taking place on June 13th – 16th in Chicago, Illinois.
Event
Materials Science
- Jul 14th-18th, 2025
CRS 2025
Schrödinger is excited to be participating in the CRS Annual Meeting 2025 taking place on July 14th – 18th in Philadelphia, Pennsylvania.
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.
Video
Materials Science
Polymers: Schrödinger’s Materials Science Builder Series
This video showcases a workflow for polymer modeling, including building, simulating, and analyzing polymer models, and exporting to PyMOL for movie creation.
Video
Materials Science
Building Small Molecules in MS Maestro
The sixth video in the Getting Going with Materials Science (MS) Maestro Video Series: 2D Sketcher, 3D Builder, and Force Field Minimization.
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
Microkinetics Deposition Analysis
Get an overview of the Microkinetics Deposition Analysis panel analyzing microkinetic modeling calculation results for deposition processes.
- Quick Reference Sheet
CREST
Get an overview of the CREST panel covering conformational search for small molecule using CREST.
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
Webinar
Materials Science
- Aug 6, 2025
Advancing machine learning force fields for materials science applications
In this webinar, we will introduce Schrödinger’s state-of-the-art MLFF architecture, called Message Passing Network with Iterative Charge Equilibration (MPNICE), which incorporates explicit electrostatics for accurate charge representations.
Webinar
Materials Science
- Jun 19, 2025
Schrödinger 디지털 플랫폼 솔루션을 응용한 디스플레이 소재/소자 및 배터리 소재 기술의 혁신
최근 계산과학과 신소재기술의 발전에 힘입어, 컴퓨터를 활용한 디지털 재료 설계 솔루션을 보다 쉽고 빠르게 연구개발에 적용할 수 있는 기회가 마련되었습니다.
Webinar
Materials Science
- Jun 17, 2025
Accelerating chemical innovation with AI/ML: Breakthroughs across materials applications
In this webinar, we will explore how AI/ML is driving impactful advancements in materials innovation, highlighting case studies that illustrate cutting-edge ML techniques in diverse applications.
White Papers
White Paper
Materials Science
White Paper
Materials Science
White Paper
Materials Science
Latest insights from Extrapolations blog
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
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
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.
Other Resources