
Solutions for diverse materials science R&D applications
- Polymeric Materials
- Consumer Packaged Goods
- Catalysis & Reactivity
- Thin Film Processing
- Energy Capture & Storage
- Pharmaceutical Formulations & Delivery
- Metals, Alloys & Ceramics

Organic Electronics
Discover optimal organic electronic materials with good conductivity, mechanical and thermal stability, and suitable for fabrication.
- Accurately predict key optoelectronic properties
- Run high-throughput screening for rapid design and discovery of advanced materials
- Leverage easy-to-use, automated workflows backed by expert scientific support

Polymeric Materials
Understand and predict product performance through simulations of polymers at molecular and atomic scale.
- Accurately predict chemical reactivity, polymer morphology, and key physicochemical properties
- Design new polymers, screen formulations, and optimize manufacturing
- Leverage easy to use, automated workflows for discovery and optimization

Consumer Packaged Goods
Harness molecular simulation to accelerate innovation for consumer goods
- Predict key performance indicators for consumer products
- Build and simulate complex molecular systems that directly relate to product formulas
- Leverage easy-to-use, automated solutions backed by expert scientific support

Catalysis & Reactivity
Accelerate the discovery of the next generation of catalytic and non-catalytic processes.
- Run automated workflows for high-throughput discovery of novel catalysts and reactants
- Elucidate the details of reactivity, selectivity, and specificity
- Leverage a collaborative enterprise platform for novel materials discovery

Thin Film Processing
Optimize atomic level processing for the semiconductor industry and improve device performance.
- Accurately predict surface reactivity to optimize deposition or etch processes
- Validated prediction of precursor volatility by machine learning
- Leverage efficient simulation tools for the design of novel chemicals for materials processing

Energy Capture & Storage
Accelerate the development of cleaner, lighter, safer, and more energy-efficient materials for batteries, fuel cells and photovoltaics.
- Predict key properties for batteries, fuel cells, photovoltaics, and hydrogen storage R&D
- Simulate and analyze critical properties of component materials and interfaces
- Enumerate and explore vast chemical space using streamlined workflows

Pharmaceutical Formulations & Delivery
Optimize your pharmaceutical at the molecular level with smart, strategic drug formulation
- Characterize and optimize drug formulations and delivery
- Understand drug stability and reactivity
- De-risk your solid form selection process by identifying the most stable polymorph at room temperature

Metals, Alloys & Ceramics
Enable the design of high-performance inorganic materials with highly efficient multiscale simulations and cheminformatics machine learning models.
- Accurately predict key properties (structures, morphologies, and compositions) for inorganic materials
- Enhance your materials analysis capabilities
Use Cases
Explore how teams can apply Schrödinger technology to accomplish their work across industries.
BY INDUSTRY
Oil & Gas
Consumer Packaged Goods
Aerospace
Academics
Automotive
Specialty Chemicals
Biotechs & Pharmaceuticals
Semiconductor
BY TEAM FUNCTION
Computational Chemistry
Experimental Chemistry
Materials Engineering
Research IT
Formulation ML
Automated machine learning solution to generate accurate formulation-property relationships and screen new formulations with desired properties.
Upcoming Event
- Materials Science
- Conference
IUCr2026
Schrödinger is excited to be participating in the IUCr2026 conference taking place on August 11th – 18th in Calgary, Alberta, Canada.
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Date & Time: Aug 11th-18th, 2026
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Location: Calgary, Alberta, Canada
The importance of human know-how in AI execution for R&D
How Schrödinger’s materials science domain experts ensure partner success
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