MS Maestro materials modeling software
MS Maestro is Schrödinger’s comprehensive modeling environment for materials discovery, offering a unified platform for atomic-scale visualization, physics-based simulations, and advanced machine learning workflows. Designed to accelerate innovation, MS Maestro integrates quantum mechanics (QM), molecular dynamics (MD), and molecular mechanics (MM) into intuitive workflows for analyzing and predicting material properties. From polymers and pharmaceuticals to energy storage and semiconductors, MS Maestro empowers researchers to build, simulate, and optimize complex systems with unprecedented accuracy and efficiency. By combining structural visualization, automated simulations, and AI-driven property prediction, MS Maestro provides deep insights into the mechanisms and behavior of advanced materials, enabling faster design cycles and more informed decision-making.
- Unified Modeling Environment – Integrated workflows for QM, MD, and MM simulations with automated, customizable protocols.
- AI & Machine Learning Integration – Predict key materials properties with pre-built ML models; automate model building and validation.
- Advanced Structure Builders – Create accurate models for crystals, organometallics, polymers, thin films, interfaces, and more.
- Chemical Enumeration Tools – Generate, store, and manage large-scale chemical libraries using combinatorial chemistry.
- Cross-Platform & Cloud Access – Run and manage simulations on local clusters, remote servers, or secure cloud environments.
- Collaborative Platform – Seamlessly integrated with LiveDesign for real-time collaboration, data sharing, and deployment.
- Scalable Visualization – Render and analyze large, complex systems in an interactive 3D workspace.
- Polymeric Materials – Design, optimize, and simulate advanced polymer systems.
- Pharmaceutical Formulations & Delivery – Model excipients, formulations, and drug delivery materials.
- Energy Capture & Storage – Explore new materials for batteries, solar cells, and fuel cells.
- Organic Electronics – Simulate charge transport and optimize materials for electronic devices.
- Thin Film Processing – Analyze and optimize thin film deposition and properties.
- Catalysis & Reactivity – Investigate catalytic surfaces and reaction mechanisms at the molecular level.
- Metals, Alloys & Ceramics – Model microstructures and predict mechanical and thermal properties
