Course title
Quantum Materials: Experimental aspect

ISHII Yasuyuki
Course content
This course deals with the basic concepts and principles of quantum materials, such as magnetic materials and superconductors. At the end of the course, participants are expected to explain theoretical and experimental techniques for characterizing magnetic and superconducting materials based on quantum mechanics and electromagnetics. In addition, this course aims to develop experimental skills through actual experiments and demonstrations.
Purpose of class
The course aims to give students hands-on experience of some of the theoretical and experimental foundations of materials physics, mainly using quantum effects, and in the process to develop an understanding of experiment and theory and, in the process to develop their oral and written communication methods, troubleshooting processes, data analysis and other accelerating their professional development as scientists in skills. Students also learn how to operate laboratory equipment via the Internet.
Goals and objectives
  1. Be able to explain the theory of electrical transport phenomena and its measurement from a quantum mechanical perspective.
  2. Be able to explain the theory of magnetic properties and its measurement from a quantum mechanical perspective.
  3. Be able to explain the principles of low-temperature experiments.
  4. Be able to control laboratory equipment using a computer.
  5. Be able to analyse and visualise experimental data using a computer and write an experimental report.
Relationship between 'Goals and Objectives' and 'Course Outcomes'

report Total.
1. 20% 20%
2. 20% 20%
3. 20% 20%
4. 20% 20%
5. 20% 20%
Total. 100% -
Class schedule

Class schedule HW assignments (Including preparation and review of the class.) Amount of Time Required
1. electromagnetism for quantum materials review the handout 190minutes
2. transport properties of quantum materials review the handout 190minutes
3. magnetic properties of quantum materials review the handout 190minutes
4. experimental techniques I: transport property measurements review the handout 190minutes
5. experimental techniques II: magnetic property measurements review the handout 190minutes
6. experimental techniques III: vacuum technology and low-temperature generations review the handout 190minutes
7. experimental techniques IV: other experimental techniques review the handout 190minutes
8. Data Analysis I: visualization review the handout 190minutes
9. Data analysis II: interface review the handout 190minutes
10. practice 1 electrical property measurements review the handout 190minutes
11. practice 2 magnetic measurements review the handout 190minutes
12. practice 3 low-temperature generations 1 review the handout 190minutes
13. practice 4 low-temperature generations 2 review the handout 190minutes
14. summary and practice report writing review the handout 190minutes
Total. - - 2660minutes
Evaluation method and criteria
Weekly reports or assignments.
The total score for all reports and assignments is 100 points, with 60 points or more as a pass mark.
60 points are awarded if the student has mastered the content explained in class, as described in the handout.
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
“Experimental Techniques for Low-Temperature Measurements: Cryostat Design, Material Properties and Superconductor Critical-Current Testing”,
Jack Ekin,
Oxford University Press
“Python for Data Analysis 3rd Edition”
Wes McKienney
Knowledge of quantum mechanics is desirable.
Experience in programming in C or Python is preferred.
Office hours and How to contact professors for questions
  • After the weekly classes.
    Questions can be asked at any time by email.
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
About half of the classes are interactive
Course by professor with work experience
Work experience Work experience and relevance to the course content if applicable
Education related SDGs:the Sustainable Development Goals
Last modified : Mon Mar 25 04:03:51 JST 2024