#Japan #Semiconductor #Chiyoda #CMCR #Informatics

Seminar Overview

The upcoming live seminar, titled "Theoretical Analysis of Inorganic Semiconductors through the Integration of First Principles Calculations and Informatics," is set to take place on July 4, 2025, from 10:30 AM to 4:30 PM JST. Organized by CMCR, a leader in advanced technology information and market trends, this event will leverage Zoom for online participation, allowing attendees to join from anywhere. The seminar will be led by Yusuke Noda, an associate professor at Kyushu Institute of Technology, specializing in physical informatics.

The registration fees are as follows:

• - General Admission: ¥49,500 (including tax)
• - CMCR Newsletter Subscribers: ¥44,000 (including tax)
• - Academic Rate: ¥26,400 (including tax)

Participants will have the opportunity to engage in Q&A sessions, making this an interactive learning experience.

Knowledge Gained from the Seminar

Attendees will learn about:

• - Applications of information science and machine learning in materials science research.
• - Methods for conducting materials science research using the integration of first principles calculations and informatics.

Target Audience

This seminar is designed for:

• - Individuals interested in utilizing first principles calculations and machine learning in materials research.
• - Researchers and professionals considering the application of materials informatics in their work.

Seminar Details

Theme and Schedule

• - Topic: Theoretical Analysis of Inorganic Semiconductors through First Principles Calculations and Informatics
• - Date and Time: July 4, 2025, 10:30 AM – 4:30 PM
• - Instructor: Yusuke Noda, Associate Professor, Kyushu Institute of Technology

Seminar Program

1. Fundamentals of First Principles Calculations
- Overview and significance of first principles calculations.
- Born-Oppenheimer approximation and density functional theory.
- Kohn-Sham equations and self-consistent field methods.
- Applications in structural optimizations and electronic structure analysis.

2. Basics of Machine Learning
- Introduction to machine learning techniques and their execution.
- Key algorithms like neural networks, random forests, and gradient boosting.

3. Introduction to Materials Informatics
- Understanding materials informatics and its impact on scientific research.
- Case studies demonstrating successful integrations in semiconductor research.

4. Research Examples
- Theoretical analysis of solid-state electrolytes' thermodynamic stability.
- Use of machine learning for optimizing atomic configurations in compound semiconductors.
- Simulations utilizing machine learning-based interatomic potentials to understand large defect clusters in semiconductors.

Instructor Profile

Yusuke Noda has an extensive background in physical informatics, having served as a researcher at various prestigious institutions before joining Kyushu Institute of Technology. His focus on integrating computational techniques in material development facilitates advancements in semiconductor research.

Registration and Participation

To register, please visit the seminar's dedicated page on the CMCR website. Participants will receive a URL for access to the live seminar, along with supplementary materials post-event.

For those eager to delve deeper into the emerging field of materials science through the lens of modern computational techniques, this seminar promises to be a pivotal opportunity. Don't miss out on the chance to broaden your understanding of how first principles and informatics can revolutionize semiconductor research.