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シュレーディンガー List of Catalogs

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Machine learning force fields for organic and inorganic systems

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Contract Research Services for Materials Science [Japanese Document]

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Schrödinger's Target Enablement Service

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Schrödinger's Hit Discovery Service

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[Information] Introduction to Modeling Services

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

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Schrödinger's platform for materials science

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Schrödinger's Life Sciences Platform

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Promotion of Organic Electronics Materials Development

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Improvement of formulation design and optimization through coarse-grained molecular simulation.

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Utilization of the Schrödinger Platform at Panasonic

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

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

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[Case Study] Machine Learning Force Fields for Material Modeling

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This is a Japanese brochure that clearly introduces Schrödinger's materials development support products.

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Product Comprehensive Guide

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[Japanese Brochure] Integrated Platform Supporting Battery Material Development

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[Case Studies] Batteries and Energy Storage Materials

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[User Case] Next-Generation Lithium-Ion Battery Development

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[Case Study] Accelerating the Design of Organic EL Materials through Active Learning

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[Case Study] Panasonic and Schrödinger Design Over 50 New Molecules to Improve Hall Mobility

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[Information] Organic Electronics

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[Japanese Brochure] An Integrated Platform Supporting the Development/Analysis of Semiconductors and Related Technologies

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Japanese Brochure: Polymer and Resin Property Value Prediction Support Tool

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Digital chemistry to streamline the polymer supply chain.

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[Data] Polymer

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[Data - Simplified Version] AI Platform for Materials Informatics: LiveDesign Presentation Materials

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[Information] AI Platform for Materials Informatics: LiveDesign Description Document

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Utilization of Molecular Simulation and Machine Learning for Daily Necessities Development

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[Information] Molecular simulation software for the development of food, cosmetics, and packaging materials.

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[Data] Materials Science Reaction Workflow

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[Case Studies] Machine Learning for Materials Research

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[Case Study] Machine Learning Enabling Accurate Prediction of Precursor Volatility

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[Data] Quantum ESPRESSO Interface

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[Data] Machine Learning and Material Property Prediction

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Utilizing advanced technology to tackle efficient biopharmaceutical design.

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High-efficiency compound exploration realized by FEP+

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[Data] Integrated simulation software for bio and antibody drug discovery

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Realizing molecular design, prediction, analysis, and collaboration in the digital space.

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[Information] Software that promotes the rapid and efficient development of new pharmaceuticals.

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Cloud-based enterprise informatics platform that accelerates drug discovery.

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