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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 Webinar Materials Science
  • 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。

Accelerating Product Development: The Industrial Shift to AI/ML-Driven Formulation 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.

Advancing machine learning force fields for materials science applications 最新機能 MPNICEのご紹介 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。

Innovations in Digital Chemistry: Computational Approaches for Drug & Materials Discovery 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.

Advancing machine learning force fields for materials science applications 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.

Organic Electronics 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.

Accelerating chemical innovation with AI/ML: Breakthroughs across materials applications 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.

Modelling amorphous solid dispersion (ASD) release mechanisms 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.

AI/ML-Powered Formulation Design: Accelerating Innovation 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.

Computational insights into polymer excipient selection for amorphous solid dispersions 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.

Accelerating OLED innovation with multi-scale, multi-physics simulations Webinar Materials Science
  • 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.

Accelerating pharmaceutical formulations using machine learning approaches 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.

Events

Bunsen: Where Validated Scientific Workflows Meet Agentic AI 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.

Future Food-Tech 2026 Event Materials Science
  • Sep 24th-25th, 2026
Future Food-Tech 2026

Schrödinger is excited to be participating in the Future Food-Tech 2026 conference taking place on September 24th – 25th in London, United Kingdom.

25th EuroQSAR Event Life Science
  • Sep 27th – Oct 1st, 2026
25th EuroQSAR

Schrödinger is excited to be participating in the 25th European Symposium on Quantitative Structure-Activity Relationship conference taking place on September 27th – October 1st in Perugia, Italy.

Webinars

Bunsen: Where Validated Scientific Workflows Meet Agentic AI 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.

Accelerating materials innovation with Bunsen, your agentic co-scientist for physics & AI 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.

Accelerating sustainable chemical innovation with physics-powered AI and predictive modeling Webinar Materials Science
  • Jul 23, 2026
Accelerating sustainable chemical innovation with 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.

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

Getting Going with MS Maestro Video Series Video Materials Science
Getting Going with MS Maestro Video Series

A free video series introducing the basics of using Materials Science Maestro.

Launching, Saving and Importing – Getting Going with MS 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.

Navigating the Graphical User Interface – Getting Going with MS Maestro 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
  • 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

Predict skin products safety and efficacy computationally —ahead of the lab 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.

Advancing sustainable food processing through integrated experimental and molecular simulation approaches 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.

Advancing lipid nanoparticle development with structure-based modeling platform and services Case Study Life Science Materials Science

White Papers

Quick Reference Sheets

  • Quick Reference Sheet
Coarse-Grained Backmapping

Get an overview of the Coarse-Grained Backmapping panel.

  • Quick Reference Sheet
Simple Sugar Builder

Get an overview of the Simple Sugar Builder.

  • Quick Reference Sheet
Clean Up Structures

Get an overview of the Clean Up Structures Panel.

Latest insights from Extrapolations blog

How L’Oreal Uses Digital Simulation to Explore Sustainable Product Ingredients 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
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
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.