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  6. Introducing Schrödinger's materials development support products in an easy-to-understand manner.

Introducing Schrödinger's materials development support products in an easy-to-understand manner.

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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
  • Special site

Support for property prediction, analysis, and design based on molecular structure and nanoscale structure through large-scale statistical analysis of experimental data and high-precision nanoscale simulations.

We will introduce the features of Schrödinger's Materials Science Solutions (MSS) in an easy-to-understand manner. 【Product Features】 ■ Molecular design using quantum calculations ■ Prediction of liquid and polymer physical properties ■ Crystals, surfaces, and interfaces: First-principles calculations for periodic systems, chemical reactions on electrodes and catalysts, and a wide range of applications to semiconductors/molecular crystals/MOFs ■ Statistical analysis and machine learning ■ Flexible and powerful GUI/CUI user interface *For more details, please feel free to contact us.

    simulatorEmbedded OSEAI/ETL/WEB application server
A4資料_MSS全体_0222.jpg

Introducing Schrödinger's materials development support products in an easy-to-understand manner.

A4資料_MSS全体_0222.jpg
A4資料_MSS全体_0222.jpg 【製品総合ガイド】product-overview.jpg
  • Special site - Product/service details - https://pr.mono.ipros.com/schrodinger/product/

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Our Materials Science Suite can accommodate a wide range of materials research fields. ■ Property predictions using Density Functional Theory (DFT) calculations and first-principles calculations for periodic systems HOMO/LUMO/pKa/solvent effects/IR/Raman/UV-vis/VCD/NMR/oxidation/reduction potentials/triplet excited state energy/TADF S1-Tx gap/fluorescence/phosphorescence/vibrational calculations/structure optimization/transition state calculations/reaction pathway analysis/adsorption energy/bond dissociation energy/electron and hole mobilities/reorientation (rearrangement, reconfiguration) energy ■ Property predictions using Molecular Mechanics (MM), Molecular Dynamics (MD), and Coarse-Grained MD Density/conformation analysis/cross-linked structures/Young's modulus/viscosity/surface tension/glass transition temperature (Tg)/molecular diffusion/thermal expansion/crystal morphology/swelling/stress-strain curves/solubility parameters Methods available for use in machine learning Generation of various descriptors and fingerprints/Partial Least Squares (PLS) regression/multiple linear regression (MLR)/Principal Component Regression (PCR)/Kernel PLS/Bayesian classification/Recursive Partitioning (RP) analysis/Self-Organizing Maps/Tg, dielectric constant, boiling point, vapor pressure prediction models/genetic algorithms/active learning

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catalog(12)

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Japanese Brochure: Polymer and Resin Property Value Prediction Support Tool

Japanese Brochure: Polymer and Resin Property Value Prediction Support Tool

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Schrödinger's platform for materials science

Schrödinger's platform for materials science

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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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[Information] Introduction to Modeling Services

[Information] Introduction to Modeling Services

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Contract Research Services for Materials Science [Japanese Document]

Contract Research Services for Materials Science [Japanese Document]

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

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

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Product Comprehensive Guide

Product Comprehensive Guide

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Promotion of Organic Electronics Materials Development

Promotion of Organic Electronics Materials Development

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

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

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[Japanese Brochure] Integrated Platform Supporting Battery Material Development

[Japanese Brochure] Integrated Platform Supporting Battery Material Development

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

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

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Machine learning force fields for organic and inorganic systems

Machine learning force fields for organic and inorganic systems

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News about this product(6)

September 16 (Monday) to 20 (Friday): Presentation and exhibition at the 85th Autumn Meeting of the Japan Society of Applied Physics.

  • Seminar・Event

Schrödinger, Inc. will be presenting and exhibiting at the 85th Autumn Meeting of the Japan Society of Applied Physics from September 16 (Monday) to September 20 (Friday). 【Presentation】 Date and Time: September 18 (Wednesday) 13:30 - 13:45 Title: "Exploration of New Titanium Nitride Structures Using Local Formal Charge" Presenter: Yuta Aoki, Schrödinger, Inc. Location: Niigata City, Toki Messe 2F A24 Keywords: oxynitride, semiconductor, photocatalyst We proposed a new titanium nitride with an optimal band structure for visible light-responsive photocatalysts for water splitting. To screen stable structures from a large number of candidate structures, we proposed a method to calculate the local formal charge of Ti atoms from local structures, which was used to narrow down the subjects for first-principles calculations. The resulting structure was found to have its valence band edge raised by over 1 eV compared to TiO2, indicating a band structure suitable for visible light water splitting. 【Booth】K-13

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June 4 (Tuesday) to June 7 (Friday) - Free Web Seminar: Introduction of case studies on simulation software for materials science and the use of materials informatics.

  • Seminar・Event

Schrödinger, Inc. will hold a materials science web seminar titled 'Schrodinger Materials Science Seminar Japan 2024' from June 4 (Tuesday) to June 7 (Friday). In recent years, computational chemistry has established itself as an essential foundational technology in the development of various materials, ranging from semiconductors and electronic components to everyday products. Since its founding in 1990, Schrödinger has continuously worked on enhancing software and informatics for molecular design, providing practical solutions for the efficiency of various material developments. We will be hosting a seminar to introduce case studies utilizing these software tools. The content will be satisfying for both those with experience in simulations and machine learning, as well as those who are just starting out. We welcome participation in any sessions of interest, so please feel free to join us.

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September 7 (Thursday) to 15 (Friday) - "Free Web Seminar" introducing case studies on the use of simulation software for materials science and materials informatics.

  • Seminar・Event

Schrödinger, Inc. will hold a materials science web seminar titled 'Schrödinger Materials Science Seminar Japan 2023' from September 7 (Thursday) to September 15 (Friday). In recent years, computational chemistry has established itself as an essential foundational technology in various materials development, ranging from semiconductors and electronic components to everyday products. Since its founding in 1990, Schrödinger has continuously worked on enhancing software and informatics for molecular design, providing practical solutions for the efficiency of various materials development. We will be hosting a seminar to introduce case studies of these software applications. The content will be satisfying not only for those with experience in simulations and machine learning but also for those who are just starting out. You are very welcome to attend only the sessions that interest you, so please feel free to join us.

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July 26 (Tuesday) to 29 (Friday) - Free Web Seminar: Introduction to Case Studies on Simulation Software for Materials Science and the Use of Materials Informatics.

  • Seminar・Event

Schrödinger, Inc. will hold a materials science web seminar titled "Schrodinger Materials Science Seminar Japan Summer 2022" from July 26 (Tuesday) to July 29 (Friday). Our company develops, sells, and provides services for software aimed at materials science, including: - The "Materials Science Suite," a simulation software platform that enables advanced analysis and property predictions at the atomic scale, - The "LiveDesign" platform for materials informatics. In the seminar, we will clearly introduce what can specifically be done using these software tools. The content will be of interest not only to those with experience in simulation and machine learning but also to those who are just starting out. We encourage you to participate freely.

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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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