▶Japanese
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- Academic unit or major
- Tokyo Tech Academy for Convergence of Materials and Informatics
- Instructor(s)
- Ueno Takafumi Matsushita Yu-Ichiro Yasuo Nobuaki Kawauchi Susumu Hitosugi Taro Sekijima Masakazu Tateyama Yoshitaka
- Class Format
- Lecture (Livestream)
- Media-enhanced courses
- Day/Period(Room No.)
- Mon5-6()
- Group
- -
- Course number
- TCM.A401
- Credits
- 1
- Academic year
- 2022
- Offered quarter
- 3Q
- Syllabus updated
- 2022/7/6
- Lecture notes updated
- -
- Language used
- English
- Access Index
-
Course description and aims
In this lecture, experts in the fields of materials informatics and materials simulation will outline how to integrate material science and information science and utilize them in research and development, with taking practical examples.
The aim is to acquire basic skills to become "complex human resources" to advance creative material and information research by linking material and information, and thinking from a compound eye viewpoint.
Note) Complex Human Resources: Human resources capable of actively engaging in things concerning materials science, information science, and social services
Student learning outcomes
By the end of this course, students will be able to:
1) Gain knowledge of trends new methods and ways of thinking across both material and information fields, and to evaluate research.
2) Participate in discussion about research on material and information based on expert knowledge.
3) Draw conclusions from experimental results related to both material and information fields through logical thinking.
Keywords
Materials, Informatics, Interdiscipline
Competencies that will be developed
| ✔ Specialist skills | Intercultural skills | Communication skills | Critical thinking skills | ✔ Practical and/or problem-solving skills |
Class flow
Topics change every lesson. Lectures will be provided by Zoom.
Course schedule/Required learning
| Course schedule | Required learning | |
|---|---|---|
| Class 1 | Introduction to Materials Informatics: Organic Molecules and Machine Learning | Understand the overview of materials informatics by performing machine learning for small organic molecules as an example. |
| Class 2 | Introduction to Materials Informatics: COVID-19 drug discovery and compound generation model | Understand the overview of materials informatics, and explain the usefulness of materials informatics for coronavirus drug discovery and compound generation model. |
| Class 3 | Practical bioinformatics: genome, protein, and drug design | Study about the problems and techniques for informatics targeting biomolecules such as genome and protein. Understand computational drug discovery researches as their application. |
| Class 4 | Practical quantum chemistry calculation: examples of reaction path search and physical property prediction | Study what level of current quantum chemical calculation is, and how quantum chemical calculation is useful for research based on examples of reaction path search and physical property prediction. |
| Class 5 | Materials simulation: Significance of materials simulation and its perspective | Understand the significance of learning materials simulation and how materials simulation is useful for device development and design showing some examples. Also understand the future perspectives of materials simulation. |
| Class 6 | Molecular dynamics sampling: Statistical mechanics of materials at finite temperature | Study the relationship between MD sampling and statistical mechanics and the typical applications of MD calculations in materials science and chemical reaction research. |
| Class 7 | Materials science using AI and robots: from parameter optimization to discovery of scientific principles. | We are now in the era when robots are conducting experiments. Moreover, AI robotic systems are now at the stage of revealing the truth of science. The lecture covers the state-of-the-art in the use of such systems in inorganic, organic, and biotechnology research. |
Out-of-Class Study Time (Preparation and Review)
To enhance effective learning, students are encouraged to spend approximately 100 minutes preparing for class and another 100 minutes reviewing class content afterwards (including assignments) for each class.
They should do so by referring to textbooks and other course material.
Textbook(s)
Not specified.
Reference books, course materials, etc.
Not specified.
Assessment criteria and methods
Students will be assessed on their understanding by submitting a report selected from among six problems announced in six lessons.
Related courses
- Not specified.
Prerequisites (i.e., required knowledge, skills, courses, etc.)
Not specified.
Other
There are restrictions on the number of students who can take this course, and TAC-MI students have priority registration. A lottery will be held, if there are many applicants.
