Course - Nanotools - TFY4330
TFY4330 - Nanotools
About
Examination arrangement
Examination arrangement: Aggregate score
Grade: Letter grades
| Evaluation | Weighting | Duration | Grade deviation | Examination aids |
|---|---|---|---|---|
| Project report | 50/100 | |||
| Home examination | 50/100 | 4 hours |
Course content
The course deals with characterization and structuring tools with a high (less than 100 nm) spatial resolution, which are relevant for nanotechnology: Focused Ion Beam (FIB), Scanning Electron Microscopy (SEM), Atomic Force Microscopy (AFM) and Scanning Transmission Electron Microscopy (STEM). The course is split into two main parts: laboratory work and lectures.
The laboratory work involves student active learning via hands-on experience using the FIB, SEM, AFM and STEM. In the first laboratory exercise, the students nanostructure a thin film material in the FIB. This sample is then characterized using the SEM, AFM and STEM. Covering the major data classes: imaging, spectroscopy and diffraction. This also includes nanoscale characterization of electromagnetic fields. Teaching in advanced numerical data analysis using Python and Jupyter Notebooks is included via computer exercises, and use of HPC computation cluster for simulating material properties. Here, the raw data from the laboratory exercises is processed and visualized. The results from the laboratory work is written up into a project report, utilizing the results from the computer exercises.
The lectures cover the theory behind the aforementioned techniques, and how the techniques can be used to address sustainability challenges. Other nanostructuring and characterization techniques might also be covered. Note that the hands-on laboratory work is subject to equipment availability, so the lab-work might consist of other instruments.
Learning outcome
After the course, the student will have both theoretical and hands-on experience with several high-end microscopy techniques. Having learnt how to both structure and characterize materials at nanometer length scales and acquire their own data. This also includes knowledge on how to process the raw data from these instruments using the open source and reproducible software tools Python, Jupyter Notebook and Gwyddion. Experience in simulating material properties through Linux-based High Performance Computing cluster. Experience in group-based writing of a scientific style project report.
Learning methods and activities
Hands-on laboratory work at NTNU Nanolab and NORTEM lab, lectures, and computer exercises. Laboratory and computer exercise must be approved to be admitted to the exam. Expected workload in the course is 225 hours.
Compulsory assignments
- Laboratory exercises
- Computer exercises
Further on evaluation
Home exam is 50% of the grade. Project report is 50% of the grade.
Both the home exam and project report must have a passing grade to get a final grade for the whole course.
A part of the home exam will test digital skills through analysis and visualization of data using Python.
The re-sit examination may be changed from written home exam to oral exam.
Recommended previous knowledge
Basic course in materials science (for example TMT4185 or similar).
Basic course in physics, covering subjects such as: electric fields, magnetic fields, electric current, electric potential. For example courses covering electromagnetism, or other physics courses covering these subjects (for example TFE4120, FY1003, IFYKJT1002 or similar)
Experience with programming. Either as its own course (for example TDT4110 or similar), or parts of other courses.
Course materials
To be announced at course start.
No
Version: 1
Credits:
7.5 SP
Study level: Second degree level
Term no.: 1
Teaching semester: AUTUMN 2024
Language of instruction: Norwegian
Location: Trondheim
- Physics
Examination
Examination arrangement: Aggregate score
- Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
-
Autumn
ORD
Home examination
50/100
Release
2024-12-12Submission
2024-12-12
09:00
INSPERA
13:00 -
Room Building Number of candidates - Autumn ORD Project report 50/100 INSPERA
-
Room Building Number of candidates - Summer UTS Home examination 50/100 INSPERA
-
Room Building Number of candidates
- * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
For more information regarding registration for examination and examination procedures, see "Innsida - Exams"