course-details-portlet

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.

Course materials

To be announced at course start.

More on the course

No

Facts

Version: 1
Credits:  7.5 SP
Study level: Second degree level

Coursework

Term no.: 1
Teaching semester:  AUTUMN 2024

Language of instruction: Norwegian

Location: Trondheim

Subject area(s)
  • Physics
Contact information
Course coordinator: Lecturer(s):

Department with academic responsibility
Department of 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
2024-12-12

Submission
2024-12-12


09:00


13:00

INSPERA
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.
Examination

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

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