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  4. 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
  • May 09, 2024
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May 09, 2024

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.

シュレーディンガー シュレーディンガー
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.
Date and time Tuesday, Jun 04, 2024 ~ Friday, Jun 07, 2024
10:00 AM ~ 12:00 PM
On June 5th, there is also availability from 17:00 to 18:00.
Capital
Entry fee Free Registration is required.
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Panasonic Novel Materials Faster_ページ_1.jpg

Utilization of the Schrödinger Platform at Panasonic

Towards the realization of faster new material development.

"By gaining access to Schrödinger's tools and unprecedented computational power, Panasonic Industry Co., Ltd.'s approach to innovation has changed." This article is based on an interview with Mr. Nobuyuki Matsuzawa, Principal Engineer at the Process Device Innovation Center of Panasonic Industry Co., Ltd. Please take a look. *For more details, please refer to the PDF document or feel free to contact us.*

  • Memory
  • aluminum
  • Software (middle, driver, security, etc.)

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

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.

  • simulator
  • Embedded OS
  • EAI/ETL/WEB application server

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[Presentation of Japanese Materials] Supporting high-speed and high-precision prediction of physical properties of polymers and resins.

A GPU-assisted high-speed molecular dynamics engine that supports the rapid and high-precision prediction of physical property values of polymers and resins.

We would like to introduce Schrödinger's software that supports the prediction of physical properties of polymers and resins. 【Product Features】 ■ Accelerates MD calculations with high-efficiency GPU code Tens of thousands of atoms x hundreds of nanoseconds/day = lGPU ■ Unique high-precision force field parameter OPLS4 ■ Diverse polymer structure builder including cross-linked resins ■ Physical property prediction and analysis tools *For more details, please feel free to contact us.

  • Composite Materials
  • simulator
  • Embedded OS

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MSS_電池.jpg

Integrated platform supporting battery material development

Accelerating research and development of next-generation battery materials through atomic-level simulations and machine learning.

We would like to introduce Schrödinger's integrated platform that supports the development and analysis of next-generation battery materials. 【Product Features】 ■ Analysis of ion behavior within electrodes through quantum mechanical calculations ■ Analysis of the conduction mechanism of Li+ ions in polymer electrolytes using molecular dynamics simulations ■ Development of electrolytes through molecular simulations and machine learning *For more details, please refer to the PDF document or feel free to contact us.

  • Secondary Cells/Batteries
  • simulator
  • Embedded OS

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MSS_半導体.jpg

Integrated platform to support the development/analysis of semiconductor-related technologies.

An integrated platform that supports the development/analysis of semiconductors and related technologies with high speed and high precision.

We will clearly introduce Schrödinger's integrated platform that supports the development/analysis of semiconductors and related technologies. 【Product Overview】 ■ Prediction and analysis of semiconductor physical properties using quantum mechanical calculations - Electronic properties - Mechanical properties (elastic constant tensor, bulk modulus) - Dielectric properties - Reaction pathway exploration ■ Optimization of semiconductor film deposition processes (CVD, ALD, ALE) - Development of new precursors using quantum mechanical calculations and machine learning ■ Optimization of semiconductor packaging using classical molecular dynamics calculations - Construction of cross-linked structure models for resin encapsulants - Prediction of heat resistance through calculations of glass transition temperature - Prediction of gas barrier properties through calculations of absorption rates and diffusion coefficients of water and gas molecules - Analysis of physical property changes during the absorption of water/gas molecules *For more details, please refer to the PDF document or feel free to contact us.

  • Other semiconductors
  • simulator
  • Embedded OS

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AI Platform for Materials Informatics [Simplified Version]

Instant answers to your materials informatics concerns! The evolved AI platform LiveDesign accelerates new material development.

Do you have any of the following concerns in materials informatics? Schrödinger's LiveDesign solves these issues and accelerates MI, from data recording, completion, automation of machine learning, to sharing analytical methods and results. 【Concern 1】 Data quality issues: Formats and terminology are inconsistent ➡ We register data in a unified language in the same spreadsheet. 【Concern 2】 Data quantity issues: The data is full of missing values ➡ We complete the data using physical chemistry calculations and machine learning. 【Concern 3】 Undemocratic AI, machine learning, and analytical methods: Not knowing where to start ➡ We automatically generate suitable machine learning models while accumulating data, creating high-precision models without relying on computational chemists. 【Concern 4】 Internal sharing issues: A good predictive model has been created, but there is no mechanism to deploy it internally ➡ Analytical methods and results can be shared within a group via a web interface. *For more details, please feel free to contact us.

  • Embedded OS

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21_052_CPG Overview PDF_A4_JA_Digital_ページ_1.jpg

Free Webinar: Cosmetics Development Utilizing Digital Chemistry, February 19

Physics-based simulation and machine learning software for a wide range of users, from beginners to experts in computational chemistry.

Schrödinger, Inc. will hold a webinar for materials science on February 19 (Wednesday) titled "Virtual testing of personal care and cosmetics formulations using digital chemistry methods." The development of sustainable products faces many challenges, requiring time, resources, and new raw materials. Predictive modeling is gaining attention to streamline this process. It allows for the identification of promising ingredients and formulations that meet standards, as well as new packaging materials, providing molecular-level understanding through virtual testing using computational methods. Specifically, it enables the analysis of the behavior of individual components, the form of formulations, stability, and interactions with biological surfaces. Additionally, it allows for the exploration of interactions between products and packaging materials, helping to identify factors that significantly affect shelf life. In this seminar, we will demonstrate through case studies how computational chemistry can assist in product development, container design, and analysis during product use. We invite you to join us without hesitation.

  • Embedded OS
  • Cosmetic synthesis and fermentation
  • Cosmetic materials and raw materials

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Related catalog(2)

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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[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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[August 21 Free Seminar] Evolved to this extent with AI! A thorough explanation of the basics and latest updates of eQMS "QMSmart"

  • NEW
  • SEMINAR_EVENT

Berry Inc. (Headquarters: Taito-ku, Tokyo; CEO: Hiroshi Nakano) will hold a free online seminar titled "Evolved with AI! - A Comprehensive Explanation of eQMS 'QMSmart' from Basics to Latest Updates," which will explain the overall picture and latest updates of the cloud-based eQMS "QMSmart" with a live screen demo, on August 21, 2026 (Friday) from 14:00 to 15:00. This seminar is aimed at those considering the introduction of eQMS, as well as quality assurance, design development, and manufacturing personnel at medical device manufacturers who feel limited by paper and Excel-based QMS operations, as well as management. Participants will be able to see the evolved QMSmart in its entirety in one hour, following this summer's major update.

Jul 22, 2026

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Notice of Corporate Exhibitions at MES2026 (36th Microelectronics Symposium)

  • NEW
  • SEMINAR_EVENT

Takaya Corporation will be exhibiting at the "36th Microelectronics Symposium (MES2026)" held at Osaka University Nakanoshima Center from September 16 (Wednesday) to 18 (Friday), 2026. MES2026 is one of Japan's leading technical symposiums in the field of electronics packaging. The symposium will focus on implementation technologies that support the high functionality, miniaturization, and high reliability of electronic devices, featuring the latest research results and technological trends from universities, research institutions, and companies. Additionally, technical exchanges and information sharing will take place through corporate exhibitions. At our booth, we will introduce the features of the Flying Probe Tester "APT Series" and solutions that contribute to quality improvement, as well as offer consultations regarding inspection processes. We invite you to stop by the Takaya booth during your visit.

Jul 21, 2026

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Learning from Industrial Accidents: Safety Management of Chemicals

Free Seminar: Learning from Industrial Accidents - Systems and Measures for Chemical Safety Management to Prevent Major Disasters

  • NEW
  • SEMINAR_EVENT

In this session, we will thoroughly analyze case studies of three major chemical accidents that occurred in the past! When we unravel the root causes of these accidents, we find a common pattern of "lack of safety management systems" rather than just equipment failure or chemical reactions. We will introduce specific solutions to bridge the three gaps of "Visibility," "Control," and "Preparedness," and discuss Chemwatch's efforts to prevent risks before they occur. For any questions, please contact us at japan@chemwatch.net. We sincerely look forward to your participation.

Jul 21, 2026

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Next-generation CFD post-processor "EPPIC" product introduction seminar

  • NEW
  • SEMINAR_EVENT

☆☆☆ Urgent Visit to Japan & Emergency Event Announcement ☆☆☆ Dr. Yuval Levy, CEO of ISCFDC and developer of EPPIC, who has been involved in CFD research at NASA Ames Research Center for about five years, is coming to Japan! He will demonstrate and explain advanced CFD technologies, application cases, and the latest features of EPPIC himself. □ Date and Time □ July 31, 2026 (Friday) 13:00-18:00 (Registration starts at 12:30) <Part 1: Post-Processor Session> 13:00-16:40 <Part 2: Pre-Processor Session> 16:50-17:50 <Networking Event> 18:10-19:40 □ For more details □ Visit the Hulinks page https://www.hulinks.co.jp/seminar/eppic/

Jul 21, 2026

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Thorough explanation of the on-premises version of "Generative AI"! Additionally, new DX services are continuously being introduced!

  • NEW
  • SEMINAR_EVENT

While the business utilization of generative AI (such as ChatGPT) is rapidly advancing, the "security risk of confidential information such as on-site data, proprietary manuals, and customer information being sent to the cloud" has become a significant issue. Until now, the high cost of GPU servers and the necessity of relying on the cloud for model intelligence have been challenges. However, this premise is now undergoing a major change. With the emergence of Google's latest open model, 'Gemma4', we have finally entered an era where it is possible to operate with "intelligence equal to or greater than that of the cloud" at "one-third the hardware cost of traditional setups," and within "a secure, company-exclusive server completely isolated from the internet." We will introduce the latest trends in AI implementation along with our company's latest DX solutions.

Jul 21, 2026

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