Presentation of Materials: Molecular Simulation and Machine Learning for Daily Consumer Goods
Physics-based simulation and machine learning software for a wide range of users, from beginners to experts in computational chemistry.
Schrödinger provides a powerful and user-friendly integrated software solution for the research and development of consumer goods. Schrödinger's platform is designed for a wide range of users, from beginners to experts in computational chemistry, offering a simple workflow to build, simulate, and analyze real systems using advanced physics-based modeling and machine learning technology. Here, we introduce Schrödinger's applications for consumer goods research and development. ■ Food and Beverage ■ Cosmetics and Personal Care ■ Cleaning Agents ■ Packaging Materials ■ Materials Informatics
basic information
Product Group Desmond: Predicts various material properties such as glass transition temperature, water absorption rate, Young's modulus, refractive index, and dielectric constant using high-speed molecular dynamics (MD) programs. AutoQSAR: Enables the construction and application of machine learning models to easily predict the physical properties of organic molecules through an automated workflow. MS CG LiveDesign: AI platform for materials informatics. OPLS4: Proprietary high-precision force field parameters. Jaguar: Rich automated quantum mechanics calculation workflow. *For more details, please refer to the PDF document.*
Price information
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Applications/Examples of results
For more details, please refer to the PDF document or feel free to contact us.
