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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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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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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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[Seminar] Maximizing Team Strength through Shared Leadership

  • NEW
  • SEMINAR_EVENT

[Speaker] Jun Ishikawa, Professor at the Graduate School of Business Administration, Rikkyo University, and Vice President of Rikkyo University [Key Lecture Content] This lecture will provide a clear explanation of the most effective leadership in the VUCA era, focusing on shared leadership based on the latest research. Specifically, it will discuss how everyone can exhibit effective leadership to improve workplace and team outcomes, and how anyone can develop effective leadership skills through training. Additionally, it will explain what is necessary to foster shared leadership in workplaces and teams from both individual and organizational perspectives. To continue achieving results in the VUCA era, let’s challenge traditional views of leadership and explore new leadership concepts. [Lecture Items] 1. Characteristics of the VUCA Era 2. What is Shared Leadership? 3. Effects of Shared Leadership 4. Effectiveness of Personal Leadership Theories 5. How to Foster Shared Leadership in Workplaces and Teams 6. Q&A *This seminar will be held via Zoom meeting.*

Feb 14, 2026

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[Seminar] North America DISTRIBUTECH 2026 Report: The Frontline of Smart Meters (AMI) and DER Utilization

  • NEW
  • SEMINAR_EVENT

[Speaker] PwC Advisory LLC Senior Manager Toshiya Nakamura [Key Lecture Content] The expected roles of smart meters (AMI) and DER (Distributed Energy Resources) in power systems are increasing both domestically and internationally. The DISTRIBUTECH conference, one of North America's largest exhibitions and conferences for transmission, distribution, and energy-related technologies, will be held in early February 2026 in San Diego, North America. Numerous power companies and manufacturers introduced the latest trends regarding the next-generation smart meter systems AMI 2.0 and the utilization of DER. In this lecture, I will share the latest trends in the utilization of smart meters and DER in the decentralization of power systems gained through participation in DISTRIBUTECH. [Lecture Items] 1. Overview of DISTRIBUTECH 2. Latest trends in AMI 2.0 3. Latest trends in DER utilization 4. Considerations for the utilization of smart meters and DER 5. Q&A / Business card exchange

Feb 14, 2026

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[Seminar] Tesla's Medium to Long-Term Business Strategy

  • NEW
  • SEMINAR_EVENT

[Speaker] Mr. Li Qiangfu, Senior Researcher, Planning and Research Department, Fourin Inc. [Lecture Topics] 1. Tesla Master Plan: Progress of Existing and New Businesses 2. Strategy as a Technology Trendsetter 3. Initiatives in Purchasing and Supply Chain 4. Efforts as an IT Service Platform Provider 5. Competition with Chinese Companies and Strategies to Differentiate 6. Q&A / Business Card Exchange

Feb 14, 2026

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P-CAM R

Notice of Participation in the 55th ASM OSAKA 2026

  • NEW
  • SEMINAR_EVENT

We will be exhibiting at the "55th ASM OSAKA 2026" held at Intex Osaka. At this exhibition, you can see demonstrations of our layered automatic cutting machine (NC cutting machine) <P-CAM R>, which offers improved cutting accuracy and productivity with excellent cost performance, as well as the automatic fabric spreading machine <P-SPR2L>, which can spread fabric in an optimal state for cutting. We will also introduce our apparel CAD (design CAD) software <APEXFiz PGM>, which achieves excellent efficiency and operability through enhanced integration with cutting machines, from pattern design to size development, and our design software <APEXFiz Design>, which allows for everything from planning and design to color consideration, realistic fabric simulation, and 3D virtual sampling of products. Booth No.: 1 Exhibition Contents: P-CAM R P-SPR2L P-CAM120C SWG091N2 APEXFiz PGM SDS KnitPaint-Online APEXFiz Design Cutting Samples Knit Samples <Contact Information> Cutting Solutions Division, Moriuchi, TEL: 073-474-8239

Feb 13, 2026

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February 25, 2026 (Wednesday) 13:30 - "Teach Me About Power ICs: Basics of Lithium-Ion Batteries and Protection ICs"

  • NEW
  • SEMINAR_EVENT

The goal is to understand the roles and functions of lithium-ion batteries and protection ICs, learn the basics of lithium-ion batteries and protection ICs, and provide fundamental information that can assist in the selection of protection ICs and subsequent circuit design. ● Target Participants - New employees and young designers at companies developing products related to lithium-ion batteries - Those who want to revisit the study of lithium-ion protection ICs - Those who are about to engage in circuit design related to lithium-ion batteries ● Agenda 1. What is a lithium-ion battery? 2. Types of lithium-ion secondary batteries (LIB) 3. Major manufacturers of LIB (Cell Maker) 4. LIB Supply Chain 5. Why is protection for LIB necessary? 6. Methods of LIB protection 7. Basic operation of protection circuits 8. Product lineup of Nisshinbo Micro Devices 9. Chip cross-section (process structure) 10. Rules for product names 11. Trends and considerations for secondary batteries (to be added in 2026) 12. Q&A

Feb 13, 2026

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