- Predict binding to polymer molecules and interfaces, small molecule leaching, and gas permeation for applications in medical device, consumer packaged goods, and membranes
- Calculate polymer Rg in solution to understand the solvation in lubricants, cosmetics, and more
- Determine the impact of components and conditions on aggregation and phase behavior
Intuitive computational workflows designed by polymer experts
Easy-to-use system builders for all polymer types
Powerful workflows for molecular simulation, machine learning, and data analysis
Dedicated customer support and extensive training resources
Address polymer challenges across industries
Develop high-performance polymers that are durable, lightweight, sustainable and processable.Learn more
Enhance performance and production of raw materials for downstream applications.Learn more
Discover the best-performing polymer electrolyte materials and improve battery performance.Learn more
Optimize the design of drug carriers and formulations for effective drug delivery.Learn more
Innovate with natural materials for high-performance, sustainable packaging materials.Learn more
Design high-performance composites and sealants for high-temperature applications and flame stability.Learn more
Online certification course: Level-up your skill set in polymer modeling
Learn how to apply industry-leading computational software to predict key properties of simple and complex polymer mixtures with automated workflows and machine learning models.
- Self-paced learning content
- Hands-on access to Schrödinger software
- Guided and independent case studies
Learn more about the key computational technologies available to progress your research projects.
Complete modeling environment for your materials discovery
MS Penetrant Loading
Molecular dynamics (MD) modeling for predicting water loading and small molecule gas adsorption capacity of a condensed system
Efficient molecular dynamics (MD) simulation tool for predicting liquid viscosity and diffusions of atoms and molecules
High-performance molecular dynamics (MD) engine providing high scalability, throughput, and scientific accuracy
Efficient coarse-grained (CG) molecular dynamics (MD) simulations for large systems over long time scales
Modern, comprehensive force field for accurate molecular simulations
Automated, scalable solution for the training and application of predictive machine learning models
Your complete digital materials design lab
Automatic workflow to calculate dielectric properties and refractive index
Software and services to meet your organizational needs
Deploy digital materials discovery workflows with a comprehensive and user-friendly platform grounded in physics-based molecular modeling, machine learning, and team collaboration.
Leverage Schrödinger’s expert computational scientists to assist at key stages in your materials discovery and development process.
Support & Training
Access expert support, educational materials, and training resources designed for both novice and experienced users.