Design, develop, and optimize the next generation of automotive materials at the molecular level
Leverage molecular simulation and machine learning to guide in silico design of novel materials that meet sustainability requirements and increase efficiency.
Brilliant lighting and displays
Develop efficient, durable, and low-cost organic electronic materials for lighting and display systems.
Next generation paints, coatings, and lubricants
Accelerate innovation with sustainable ingredients. Computationally screen formulations for paints, coatings, and lubricants while optimizing for improved durability and efficiency.
Advanced components and chassis
Rapidly uncover lightweight, durable, and high-performing polymers, while optimizing manufacturing by digitally investigating the root causes of failure and defects.
More efficient and sustainable batteries
Simulate electrolyte and electrode chemistry to develop safer, lighter, and longer-lasting electric vehicles.
Efficient and powerful engines
Accelerate the discovery of high-performance catalysts in silico for efficient fuel combustion.
High performance, long-lasting tires
Optimize rubber formulations and tire materials for high performance and sustainability through digital simulations.
Platform in action
Learn how Eonix partnered with Schrödinger to find better materials for better batteries.
Learn how Sepion achieved 10-fold improvement in their battery performance using Schrödinger’s Materials Science tools.
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.