Webinar
Materials Science
- 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。
Webinar
Materials Science
- 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.
Webinar
Life Science
Materials Science
- Sep 16, 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.
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.
Webinar
Life Science
Materials Science
- Jun 10, 2025
Modelling amorphous solid dispersion (ASD) release mechanisms
In this webinar, AbbVie and Schrödinger will present the results of a study using a combination of Perturbed-Chain Statistical Associating Fluid Theory (PC-SAFT) thermodynamic modeling and molecular simulation to investigate the release mechanism and the occurrence LoR of an ASD formulation.
Webinar
Materials Science
- May 29, 2025
AI/ML-Powered Formulation Design: Accelerating Innovation
Schrödinger is excited to be hosting a webinar with C&EN on May 29th.
Webinar
Life Science
Materials Science
- May 14, 2025
Computational insights into polymer excipient selection for amorphous solid dispersions
In this webinar, we will highlight how molecular models can aid our ability to screen through standard polymer excipients for target lists to push into lab testing.
- Apr 16, 2025
Accelerating OLED innovation with multi-scale, multi-physics simulations
Join us to explore how integrated digital workflows drive the design of next-generation, high-performance OLEDs.
Webinar
Life Science
Materials Science
- Apr 8, 2025
Accelerating pharmaceutical formulations using machine learning approaches
In this webinar, we will demonstrate how Schrödinger’s integrated ML- and physics-based approaches are transforming pharmaceutical formulation design.
- Feb 26, 2025
High-performance materials discovery: A decade of cloud-enabled breakthroughs
This talk will showcase how Schrödinger’s integrated materials science platform enables massive parallel screening and de novo design campaigns across diverse applications.
Events
Event
Materials Science
- Apr 8th-10th, 2026
2026 Annual Spring Meeting of the Polymer Society of Korea
Schrödinger is excited to be participating in the 2026 Annual Spring Meeting of the Polymer Society of Korea conference taking place on April 8th – 10th in Daejeon, Korea.
Webinar
Life Science
- Apr 8, 2026
The unified antibody workbench: Optimizing antibody candidate selection through centralized team collaboration
Join us for an interactive webinar where we showcase the power of LiveDesign for Biologics in a live demo and walk you through how you can quickly start benefiting from this powerful enterprise informatics platform today!
Webinar
Materials Science
- Apr 9, 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.
Webinars
Webinar
Materials Science
- Apr 9, 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.
Webinar
Materials Science
- Apr 16, 2026
Transforming Clean Label Innovation in FMCG via Physics-Powered AI and Predictive Modeling
Join us for a webinar with Innovation Research Interchange and learn how the Fast-Moving Consumer Goods (FMCG) sector is currently navigating a significant transition driven by a global consumer shift toward “clean label” products and high-transparency ingredient lists.
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.