Course title
C00340003
Materials Informatics

ENDO Rie
Course description
Our lives depend on stimulating and developing the economy through 'manufacturing'. Improvements in the functionality of materials have been instrumental in this. At the same time, environmental and energy problems are becoming pressing issues. There are high expectations for the functionality of materials as well as social systems to solve these problems. In this lecture, the current status of actual material development will be introduced using examples such as phase-change materials and thermoelectric materials after organising and understanding the basic functionality of materials.
Purpose of class
The aim is to understand the physical mechanisms by which materials develop functionality and to learn how to apply them.
Goals and objectives
  1. With regard to practical materials, several examples can be given of what functions are required.
  2. Explain the function of materials in terms of the mechanisms underlying their basic physical properties.
  3. Explain data-driven material development.
Relationship between 'Goals and Objectives' and 'Course Outcomes'

期末試験・期末レポート課題 小テスト Total.
1. 30% 10% 40%
2. 20% 10% 30%
3. 20% 10% 30%
4. 0% 0% 0%
Total. 70% 30% -
Evaluation method and criteria
The evaluation is based on a 70% end-of-term report and a 30% in-class quiz, with a minimum overall score of 60%.
Language
Japanese
Class schedule

Class schedule HW assignments (Including preparation and review of the class.) Amount of Time Required
1. Concept of material informatics Conduct a survey on material informatics. 100minutes
2. Electrical conduction in metals Investigate the electrical properties of metals. 100minutes
3. Electrical conduction in semiconductors Investigate the electrical properties of semiconductors. 100minutes
4. Heat capacity Examine the database for heat capacities of different materials. 100minutes
5. Heat conduction Investigate the mechanism of heat transfer between metals and insulators. 100minutes
6. Thermoelectric materials Investigate the conductivity of materials that transfer heat easily. 100minutes
7. Fundamental concepts of machine learning Investigate the mechanism of thermal expansion. 100minutes
8. Data Processing Summarize the physical properties investigated so far in SI units 100minutes
9. Regression model-1 Find out about the least squares method 100minutes
10. Regression model-2 Learn about Lasso analysis 100minutes
11. Regression model-3 Find out about Bayesian optimization 100minutes
12. Multi-objective optimization Review thermoelectric materials 100minutes
13. Acquisition of training data Investigate issues with regression models 100minutes
14. Final report assignment and explanation Review of previous lectures. 200minutes
Total. - - 1500minutes
Feedback on exams, assignments, etc.
ways of feedback specific contents about "Other"
Feedback in outside of the class (ScombZ, mail, etc.)
Textbooks and reference materials
William D. Callister Jr., David G. Rethwisch: Materials Science and Engineering: An Introduction ,Wiley (2020)
Prerequisites
Reflection on the 'material' learned so far.
Office hours and How to contact professors for questions
  • 水・木・金曜日の12:20-13:00 (豊洲)
    訪問前に連絡することが望ましい。
Regionally-oriented
Non-regionally-oriented course
Development of social and professional independence
  • Course that cultivates an ability for utilizing knowledge
  • Course that cultivates a basic problem-solving skills
Active-learning course
More than one class is interactive
Course by professor with work experience
Work experience Work experience and relevance to the course content if applicable
N/A 該当しない
Education related SDGs:the Sustainable Development Goals
  • 9.INDUSTRY, INNOVATION AND INFRASTRUCTURE
Last modified : Sat Mar 08 04:25:49 JST 2025