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.
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.
- Be able to explain the theory of electrical transport phenomena and its measurement from a quantum mechanical perspective.
- Be able to explain the theory of magnetic properties and its measurement from a quantum mechanical perspective.
- Be able to explain the principles of low-temperature experiments.
- Be able to control laboratory equipment using a computer.
- Be able to analyse and visualise experimental data using a computer and write an experimental report.
| report | Total. | |
|---|---|---|
| 1. | 20% | 20% |
| 2. | 20% | 20% |
| 3. | 20% | 20% |
| 4. | 20% | 20% |
| 5. | 20% | 20% |
| Total. | 100% | - |
| 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 |
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.
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.
| ways of feedback | specific contents about "Other" |
|---|---|
| Feedback in outside of the class (ScombZ, mail, etc.) |
Textbooks:
“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
O’Reilly
“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
O’Reilly
Knowledge of quantum mechanics is desirable.
Experience in programming in C or Python is preferred.
Experience in programming in C or Python is preferred.
- After the weekly classes.
Questions can be asked at any time by email.
- Course that cultivates an ability for utilizing knowledge
- Course that cultivates a basic problem-solving skills
| Work experience | Work experience and relevance to the course content if applicable |
|---|---|
| N/A | N/A |
Last modified : Mon Mar 25 04:03:51 JST 2024