April 24 (Fri): AndTech to Host Online Zoom Seminar on 'Computational Science Simulation Technology Supporting the Foundations of Materials Informatics'

AndTech Co., Ltd. (Headquarters: Kawasaki City, Kanagawa Prefecture; President: Masao Suyama), as part of its R&D development support Zoom seminar series, will hold a lecture titled 'Computational Science Simulation for Materials Informatics' to meet the growing need for problem-solving in material development.

This seminar introduces successful examples of applying computational science simulations that support the foundation of Materials Informatics to various material designs. Participants will understand the path to making computational science simulations useful for product development in corporate environments in the future.

The seminar is scheduled for April 24, 2026.

### Seminar Overview
- **Theme:** Computational Science Simulation Technology Supporting the Foundations of Materials Informatics
- **Subtheme:** Successful Case Studies Applied to Various Material Designs and Key Points for MI and Computational Science Collaboration
- **Date & Time:** April 24, 2026 (Friday) 10:30-16:30
- **Fee:** 45,100 JPY (Tax included)
- **Format:** Online via Zoom (URL will be sent after application)

### Program & Instructor
- **Instructor:** Prof. Momoji Kubo, Director of Computational Materials Science Center, Institute for Materials Research, Tohoku University

### Knowledge and Technical Challenges Addressed
The development of Materials Informatics in recent years has been remarkable, and there is a growing recognition that how effectively MI can be utilized is the key to the success of future material development. At the same time, it is widely recognized that the collaboration between MI and computational science simulation is essential. In this lecture, successful examples of applying computational science simulations to various material designs will be introduced.

### Key Points of the Lecture
This seminar is intended for those in companies who wish to achieve efficient and high-speed material design by utilizing computational science simulations at the electronic/atomic level and Materials Informatics, rather than relying on trial-and-error experimental research.

### Knowledge to be Acquired
- Insights into how computational science simulations can be applied to corporate product development.
- Success stories of MI and simulation integration.
- Understanding the roadmap for future product development using computational science.
- Learning how to effectively coordinate computational science simulations with Materials Informatics.

### Detailed Program
1. **Significance and Utilization of Computational Science in Corporations for MI**
- 1-1 Significance of simulation in corporate environments.
- 1-2 Collaboration between MI and computational science.
- 1-3 High-speed screening using computational science and MI.
- 1-4 Patent strategies through computational science.
- 1-5 Industry-academic collaboration using simulations.
2. **Basics of Computational Science Simulation**
- 2-1 Neural Networks (Basics, Features, Applications, Limits).
- 2-2 Molecular Mechanics (Basics, Features, Applications, Limits).
- 2-3 Molecular Dynamics (Basics, Features, Applications, Limits).
- 2-4 Monte Carlo Methods (Basics, Features, Applications, Limits).
- 2-5 Quantum Chemistry (Basics, Features, Applications, Limits).
- 2-6 Quantum Molecular Dynamics (Basics, Features, Applications, Limits).
3. **Practical Material Design via Computational Science Simulation**
- 3-1 Application to Tribology.
- 3-2 Application to Chemical Mechanical Polishing (CMP) processes.
- 3-3 Application to material synthesis processes.
- 3-4 Application to precision machining processes.
- 3-5 Application to electronics and semiconductors.
- 3-6 Application to Lithium-ion secondary batteries.
- 3-7 Application to fuel cells.
- 3-8 Application to solar cells.
- 3-9 Application to stress corrosion cracking in steel materials.
- 3-10 Application to wear and degradation phenomena.
- 3-11 Application to polymer materials.
4. **Future Developments of Computational Science Simulation**
- 4-1 Multiphysics computational science.
- 4-2 Multiscale computational science.
- 4-3 Neural Network Molecular Dynamics.
- 4-4 Fugaku Supercomputer results acceleration program.

### Q&A Session Included