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.

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.)

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

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

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

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

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

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

We will hold an online seminar as follows. The corporate perspective on the introduction of monitoring systems is changing year by year. We will explain the monitoring systems for machine tools that are currently needed, using various case studies to discuss the changes in the industry environment, what challenges customers perceive, their expectations for monitoring systems, and the effects of their implementation. This seminar will provide insights into specific approaches for your company's introduction of monitoring systems. Date and Time: February 12, 2025 (Thursday) 14:00 - 15:00 Instructor: Monitoring System Representative, ARTIS (MARPOSS Corporation Sales Development Department) Target Audience: - Customers considering the introduction of monitoring systems who want to know the specific process leading to implementation. - Customers interested in what challenges other companies have identified that led to the introduction of monitoring systems. - Customers researching the latest trends in monitoring systems for machine tools. We sincerely look forward to your participation.

We will be exhibiting at Robot Technology Japan from June 11 (Thursday) to June 13 (Saturday), 2026. Exhibits: Various hex wrenches from BONDHUS, tooling wagon from Huot, drill-specific cabinet, and webbing. If you visit Robot Technology Japan, please be sure to stop by our booth (booth number E94).

[Speaker] Kato Shun, Senior Consultant, Global Manufacturing Consulting Department, Consulting Division, Nomura Research Institute, Ltd. [Key Lecture Content] In recent years, the vibrant atmosphere at international technology exhibitions is one example of the growing expectations for the practical application of Physical AI and humanoids in the manufacturing industry. The utilization of AI technology is rapidly expanding into product development, design processes, and manufacturing sites. IT and capital investments in manufacturing are currently at a critical turning point, shifting from traditional digital transformation (DX) to the next phase based on AI and robotics. Furthermore, these environmental changes present a favorable opportunity for Japan's manufacturing sector to create new value and realize business opportunities. This lecture will present the direction of activities that Japan's manufacturing industry should undertake based on trends among advanced players in Europe and the United States.

[Speaker] Koichiro Danno, Head of the Social and Policy Design Unit, Research and Consulting Division, Japan Research Institute, Inc. [Lecture Items] May 7 (Thursday) <Session 1> Knowledge and Practices to be Aware of in Renewable Energy Power and Environmental Value Transactions 1. The Mechanism of Environmental Value Transactions in Our Country 2. International Trends in Environmental Value and Renewable Energy Transactions 3. The Mechanism of Renewable Energy Power Transactions in Our Country 4. Overview of Renewable Energy Power and Environmental Value Transaction Schemes 5. Points to Note and Business Opportunities in Each Scheme 6. Summary 7. Q&A May 13 (Wednesday) <Session 2> Knowledge and Practices to be Aware of Based on the Implementation of FIP, Corporate PPA, etc. in April 1. Overview of the FIP System 2. Business Opportunities Associated with the Transition to FIP in Other Countries 3. Corporate PPA Schemes Utilizing the FIP System 4. Self-Delivery Type Off-Site PPA 5. Requirements for Future Renewable Energy Operators 6. FIP Premium Estimation Process 7. Drastic Changes in the New Rules for FY2026 8. Summary 9. Q&A

This seminar will systematically explain the increasing importance of data integrity (DI) and CSV compliance in the field of pesticide GLP. ▶ Why is DI compliance required now? ▶ Proper data management based on the ALCOA+ principles ▶ Efficient DI measures through risk assessment ▶ DI compliance solutions and the latest analytical technologies from Agilent As a special lecturer, Dr. Kazuhiko Motoba, Executive Officer and Head of the Research Division at Japan Pesticide Co., Ltd., will be speaking. 【Event Overview】 Date: Tuesday, April 21, 2026 Time: 13:00–16:30 (Registration starts at 12:30) Venue: Bellesalle Yaesu Participation Fee: Free (Capacity: 50 people / In-person attendance only) Gain practical insights directly related to your work at the venue.