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Automotive

Schrödinger Platform Application across Automotive Industry
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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.

Design, develop, and optimize the next generation of automotive materials
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

Designing the next generation of lithium-ion batteries using a computational toolbox Blog
Designing the next generation of lithium-ion batteries using a computational toolbox

Learn how Eonix partnered with Schrödinger to find better materials for better batteries.

Combating climate change with next-generation batteries Blog
Combating climate change with next-generation batteries

Learn how Sepion achieved 10-fold improvement in their battery performance using Schrödinger’s Materials Science tools.

Case studies & webinars

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

Leveraging atomic scale modeling for design and discovery of next-generation battery materials

How to use atomistic simulations of polymers in an industrial setting

Software and services to meet your organizational 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.

Support & Training

Access expert support, educational materials, and training resources designed for both novice and experienced users.