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.
Webinar
Materials Science
- Feb 19, 2025
Virtual testing of personal care and cosmetics formulations using digital chemistry methods
FEB 19, 2025 | ケーススタディを通じて、計算化学が製品開発、容器設計、製品使用時の解析にどのように役立つかを示します。
Webinar
Materials Science
- Nov 12, 2024
Purposeful simulation: Maximising impact in surface chemistry modelling
In this webinar, learn about a variety of atomistic models of surfaces and gain perspective on the underlying rationale, benefits and limitations of each.
Webinar
Life Science
Materials Science
- Nov 6, 2024
Modeling lipid nanoparticles: Self-assembly and apparent pKa calculation
In this webinar, we introduce Schrödinger’s coarse-grained simulation technology that can simulate the formation of LNP structures from a random mixture.
Webinar
Life Science
Materials Science
- Oct 23, 2024
Crystal structure prediction workflow for small molecule drug formulation
In this webinar, we describe how early assessment of crystal polymorphism and thermodynamic solubility continues to be elusive for drug discovery and development despite its critical importance, especially for the ever-increasing fraction of poorly soluble drug candidates.
Webinar
Life Science
Materials Science
- Oct 9, 2024
Molecular-level insight into solubility-enhancement via cosolvents and amorphous solid dispersions
In this webinar, we highlight how molecular models can aid our ability to anticipate challenges prior to candidate selection as well as to quickly understand issues that arise in later stages of development.
Webinar
Materials Science
- Oct 8, 2024
Accelerating the Design of Asymmetric Catalysts with Schrödinger’s Digital Chemistry Platform
In this webinar, we demonstrate how Schrödinger’s advanced digital chemistry platform can be used to accelerate the direct design and discovery of asymmetric catalysts.
Webinar
Materials Science
- Oct 1, 2024
How Physics-based Modeling and Machine Learning Enable Accelerated Development of Battery Materials
In this webinar, we focus on examples to demonstrate the application of automated solutions for accurate prediction of thermodynamic stability and voltage profile of cathode materials, ion diffusion pathways and kinetics in electrode materials, transport properties of liquid electrolytes and modeling the nucleation and growth of solid electrolyte interphase (SEI) layers using Schrödinger’s SEI simulator module.
Webinar
Life Science
Materials Science
- Sep 25, 2024
Computational reactivity and catalysis for drug synthesis
In this webinar, will take an in-depth look at how computational modeling is transforming pharmaceutical synthesis.
Webinar
Materials Science
- Sep 25, 2024
Efficient Computation of Process Parameters for Controlling the Chemistry of Deposition or Etch
In this webinar, we illustrate how atomic-scale DFT can be embedded into higher-level computational schemes for accurate and achievable prediction of the conditions and parameters for controlling chemical processes.
Webinar
Materials Science
- Sep 27, 2024
AI/ML meets physics-based simulations: A new era in complex materials design
In this webinar, we demonstrate the application of this combined approach in designing materials and formulations across diverse materials science applications, from battery electrolytes and fuel mixtures to thermoplastics and OLED devices.
Events
Webinar
Life Science
- Oct 22, 2026
Advanced chemical space exploration for the discovery of mutant-selective EGFR inhibitors
In this webinar, Schrödinger’s medicinal and computational chemists will show how they tackled the EGFR triple-mutant problem by coupling industry-leading free energy perturbation technology (FEP+) with de novo design workflows to effectively explore novel chemical space and identify reversible inhibitor scaffolds.
Webinar
Materials Science
- Oct 27, 2026
AI/ML and physics-driven materials innovation in electronic packaging
In this webinar, we will cover state-of-the-art computational workflows for predicting key properties of polymer packaging materials, an essential aspect of the “predict-first” approach.
Webinar
Life Science
- Nov 4, 2026
Steering high-throughput de novo design toward synthesis-ready leads with an agentic co-scientist
In this webinar, we explore how Schrödinger’s platform brings AutoDesigner, FEP+, and RetroSynth together inside Bunsen, our agentic co-scientist.
Webinars
Webinar
Materials Science
- Oct 27, 2026
AI/ML and physics-driven materials innovation in electronic packaging
In this webinar, we will cover state-of-the-art computational workflows for predicting key properties of polymer packaging materials, an essential aspect of the “predict-first” approach.
Webinar
Materials Science
- Oct 6, 2026
Accelerating materials innovation with Bunsen, your agentic co-scientist for physics & AI
In this webinar, practical materials development case studies will show how Bunsen moves beyond a conventional chat interface to plan and execute multi-step workflows spanning literature and data analysis, quantum mechanics and molecular dynamics simulations, machine learning, iterative candidate refinement, and the synthesis of results into clear, shareable reports.
Webinar
Life Science
Materials Science
- Sep 23, 2026
Bunsen: Where Validated Scientific Workflows Meet Agentic AI
Join Schrödinger CTO Pat Lorton for an introduction to Bunsen. Pat will share how Bunsen allows researchers to set up, run, and troubleshoot multi-stage workflows without command-line friction or manual setup.
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 MS Maestro Video Series
A free video series introducing the basics of using Materials Science Maestro.
Video
Materials Science
Launching, Saving and Importing – Getting Going with MS Maestro
Learn Launching, Saving and Importing in the Getting Going with Materials Science (MS) Maestro Video Series.
Video
Materials Science
Navigating the Graphical User Interface – Getting Going with MS Maestro
Learn how to navigate the Graphical User Interface in the Getting Going with Materials Science (MS) Maestro Video Series.
Publications
- Publication
- Jun 3, 2026
Data-Driven Design of Organic Semiconductors Exhibiting Low Reorganization Energy via Hierarchical Variational Autoencoders, Gaussian Mixture Regression, and Bayesian Optimization
Nakanishi, et al. Journal of Chemical Information and Modeling, 2026, 66(12), 7034–7045
- Publication
- May 27, 2026
Digital Discovery of Large-Scale Optoelectronic Materials via MPNICE Machine-Learning Force Fields
Abroshan, et al. Physical Chemistry Chemical Physics, 2026, 28(24), 14764–14774
- Publication
- Apr 23, 2026
Multiobjective Design of Electrolyte Solvents via Physics-Based Modeling and Reinforcement Learning
Afzal, et al. ACS Applied Engineering Materials, 2026, 4(5), 2140–2150
Case Studies
Case Study
Materials Science
- Sep 14, 2026
Predict skin products safety and efficacy computationally —ahead of the lab
As global animal testing bans expand, benchwork alone is no longer enough to meet modern safety benchmarks.
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
White Papers
White Paper
Materials Science
White Paper
Materials Science
White Paper
Materials Science
Quick Reference Sheets
- Quick Reference Sheet
Coarse-Grained Backmapping
Get an overview of the Coarse-Grained Backmapping panel.
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.