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  6. Presentation of Materials: Molecular Simulation and Machine Learning for Daily Consumer Goods

Presentation of Materials: Molecular Simulation and Machine Learning for Daily Consumer Goods

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last updated:Oct 01, 2025

シュレーディンガー
シュレーディンガー

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

    Embedded OSCosmetic synthesis and fermentationCosmetic materials and raw materials
21_052_CPG

Presentation of Materials: Molecular Simulation and Machine Learning for Daily Consumer Goods

21_052_CPG Overview PDF_A4_JA_Digital_ページ_1.jpg
21_052_CPG Overview PDF_A4_JA_Digital_ページ_1.jpg

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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.*

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Japanese Case Studies: Moisture Absorption Prediction and Its Effects on Amorphous Amylose Starch

Japanese Case Studies: Moisture Absorption Prediction and Its Effects on Amorphous Amylose Starch

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[Data] Advanced physics-based modeling and AI/machine learning software for materials science.

[Data] Advanced physics-based modeling and AI/machine learning software for materials science.

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Collection of Japanese Examples: Simulation for Environmentally Considerate Cosmetic Formulation Design

Collection of Japanese Examples: Simulation for Environmentally Considerate Cosmetic Formulation Design

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Contract Research Services for Materials Science [Japanese Document]

Contract Research Services for Materials Science [Japanese Document]

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シュレーディンガー

シュレーディンガー

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Schrödinger Co., Ltd. is the Japanese subsidiary of Schrödinger Inc., headquartered in New York, USA. Schrödinger has a history of about 30 years in developing software that integrates advanced technologies in chemistry and computer science, primarily in the fields of materials science and life sciences, providing advanced solutions for drug discovery, biologics, and materials research and development.

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