MS Maestro

Complete modeling environment for your materials discovery

Materials Science: Maestro
Energy Capture Storage

Discover better materials, faster

MS Maestro is a streamlined interface for atomic-scale structural visualization, cutting-edge physics-based computational modeling, and machine learning workflows for materials discovery and analysis. MS Maestro provides insights into the mechanisms and properties of materials and chemical systems in a wide range of technological applications such as catalysis, polymers, batteries, consumer packaged goods, renewable energy, and semiconductors to accelerate materials innovation.

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Supercharge materials discovery with an integrated molecular modeling platform

Unified molecular modeling environment

  • Access integrated workflows and analysis tools with automated simulations powered by quantum mechanics (QM), molecular dynamics (MD), and molecular mechanics (MM)
  • Benefit from pre-configured and customizable workflows for performing best-in-class molecular simulations

Portal to state-of-the art machine learning workflows

  • Take advantage of advanced machine learning and informatics tools for chemistry
  • Access pre-built machine learning models for predicting key materials properties
  • Automate model building and validation processes with the support of wide feature space and a variety of regression methods

Intuitive, full-featured structure builders

  • Build realistic structural and system models of any materials type, including crystals, organometallic complexes, polymers, surfaces, interfaces, and more
  • Quickly and accurately render large-scale, complex materials models in 3D workspace

Intuitive chemical enumeration capabilities

  • Generate and store chemical structures through structural enumeration using advanced combinatorial chemistry tools
  • Build and manage large-scale chemical libraries with graphical user interface

Remote job management & cross-platform support

  • Manage large-scale computational modeling and simulation tasks on local/remote compute servers across Linux, Windows, Mac, and cloud
  • Make Maestro accessible to teams in a secure, virtual cloud environment
Integrated with LiveDesign for collaboration & model deployment

Integrated with LiveDesign for collaboration & model deployment

  • Crowdsource ideas and interactively revise design strategies with your colleagues — anytime, anywhere
  • Break down data silos and gain real-time access to all project data — virtual and experimental — in a single centralized platform

Case Studies

Discover how Schrödinger technology is being used to solve real-world research challenges.

Molecular dynamics simulations accelerate the development and optimization of recyclable tire materials

Molecular dynamics and coarse-grained simulations facilitate the design of new eco-friendly cosmetic formulations

De novo design of hole-conducting molecules for organic electronics

Schrödinger Suite Release 2023-4

Materials Science Product Guide

Explore our complete guide to Schrödinger’s Materials Science products

Documentation & Tutorials

Get answers to common questions and learn best practices for using Schrödinger’s software.

Materials Science 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.

Bundle Tutorial

Automated Martini Fitting for Coarse-Grained Simulations

Use the Coarse-Grained Force Field builder to automatically fit parameters for the Martini coarse-grained force field, utilizing all-atom systems as the reference for various systems.

Bundle Tutorial

Computational Ellipsometry

Learn how to compute the refractive index and extinction coefficient of systems of organic optoelectronics.

Bundle Tutorial

Ab initio Molecular Dynamics Simulations of Li-ion Diffusion in Solid State Electrolytes

Learn to perform an ab initio molecular dynamics simulation and calculate the Li-ion diffusion in a solid state electrolyte.

Bundle Tutorial

Phase Diagrams

Plot phase diagrams for a two- and three-component system.

Bundle Tutorial

Defect Energy Calculation

Learn to generate the defect energy correction for MgO.

Bundle Tutorial

Optoelectronic Device Designer

Learn to use the Optoelectronic Device Designer panel to design an optoelectronics device structure.

Bundle Tutorial

Thin Plane Shear

Learn to calculate the thin plane shear viscosity and friction coefficient.

Materials Science 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.

Materials Science Tutorial

Introduction to Geometry Optimizations, Functionals and Basis Sets

Perform geometry optimizations on simple organic molecules and learn basics regarding functionals and basis sets.

Broad applications across materials science research areas

MS Maestro provides a unified entry point for discovering molecular insights and accessing integrated solutions for:

Polymeric Materials
Pharmaceutical Formulations & Delivery
Energy Capture & Storage
Organic Electronics
Thin Film Processing
Catalysis & Reactivity
Metals, Alloys & Ceramics

Publications

Browse the list of peer-reviewed publications using Schrödinger technology in related application areas.

Life Science

Large Scale Ab Initio Quantum Chemical Calculations on Biological Systems

Life Science

Exploring Clotrimazole-based Pharmacophore: 3D-QSAR Studies and Synthesis of Novel Antiplasmodial Agents

Life Science

Computational Tool for Fast In silico Evaluation of hERG K+ Channel Affinity

Life Science

Additional disulfide bonds in insulin: Prediction, recombinant expression, receptor binding affinity, and stability

Life Science

Boosting virtual screening enrichments with data fusion: Coalescing hits from two-dimensional fingerprints, shape, and docking

Life Science

Sequence Selectivity of Macrolide-Induced Translational Attenuation

Life Science

Improved docking of polypeptides with Glide

Life Science

Consensus Induced Fit Docking (cIFD): Methodology, validation, and application to the discovery of novel Crm1 inhibitors

Life Science

Structure based inhibitor design targeting glycogen phosphorylase B. Virtual screening, synthesis, biochemical and biological assessment of novel N-acyl-‘-d-glucopyranosylamines

Life Science

Structure tuning of pyrazolylpyrrole derivatives as ERK inhibitors utilizing dual tools; 3D-QSAR and side-chain hopping

Life Science

Design Potential Selective Inhibitors for Treating Cancer by Targeting the Src Homology 2 (SH2) Domain-Containing Phosphatase 2 (Shp2) with Core Hopping Approach

Life Science

Scaffold-based pan-agonist design for the PPAR’, PPAR’ and PPAR’ receptors

Software and services built for your needs

Software Platform

Deploy digital materials discovery workflows with a comprehensive and user-friendly platform grounded in physics-based molecular modeling, machine learning, and team collaboration.

Research Services

Leverage Schrödinger’s expert computational scientists to assist at key stages in your materials discovery and development process.

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.

Tutorials

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.