COURSE UNIT TITLE

: MAGNETIC PROPERTIES OF THIN FILMS AND NANOPARTICLES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
PHY 5194 MAGNETIC PROPERTIES OF THIN FILMS AND NANOPARTICLES ELECTIVE 3 0 0 7

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

ASSOCIATE PROFESSOR YUSUF YÜKSEL

Offered to

PHYSICS
PHYSICS

Course Objective

In comparison to their bulk counterparts, thin films and nanoparticles exhibit a number of unusual and interesting phenomena. By properly tuning the film thickness, as well as the nanoparticle size and geometry, it is possible to benefit from the magnetic properties of these structures.

In this course, it is aimed to provide the student with basic scientific knowledge about magnetic thin films and magnetic nanoparticles and to provide a background for advanced research topics.

Learning Outcomes of the Course Unit

1   To gain information on the basics of magnetism
2   To understand the magnetic properties of thin films, nanoparticles, nanowires and nanotubes
3   To gain the ability of modelling with mean field theory, effective field theory and Monte Carlo simulations
4   To understand the exchange bias phenomena and to become familiar with the exchange biased magnetic systems
5   To understand the magnetic hyperthermia

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Basic concepts of magnetism: Exchange Interaction, Dipolar Interaction, Zeeman Interaction, Pauli Paramagnetism, Magnetic Order.
2 Magnetism in nanostructures: Thin films, nanoparticles, nano wires, and nanotubes.
3 Curie temperature of low dimensional systems
4 Magnetic Modelling: Mean field and effective field theories, Monte Carlo method
5 Modeling the magnetic properties of thin films
6 Modeling the magnetic properties of nanowires and nanotubes
7 Modeling the magnetic properties of nanoparticles
8 Midterm Exam/Presentation
9 Exchange bias theory: the role of interface structure and domains in the ferromagnets
10 Spin valve sensor materials
11 Magnetic hyperthermia properties of nanoparticles
12 Project Presentation
13 Project Presentation
14 Project Presentation

Recomended or Required Reading

Main textbook:
Surface Effects in Nanoparticles, Edited by Dino Fiorani, Springer 2005.

Suplementary books:
Physics of Surfaces and Interfaces, Harald Ibach Springer, 2006.
Physics of Low Dimensional Systems, Edited by J. L. Moran Lopez, Kluwer Academic, 2000.

Material:
J. W. Tucker, A Monte Carlo study of thin spin-1 Ising films with surface exchange enhancement , J. Magn. Magn. Mater. 210 (2000) 383;

O. Iglesias, A. Labarta, X. Battle, Exchange Bias Phenomenology and Models of Core/Shell Nanoparticles , J. Nanosci. Nanotechnol. 2008

Y. Yuksel, Exchange bias mechanism in FM/FM/AF spin valve systems in the presence of random unidirectional anisotropy field at the AF interface: The role played by the interface roughness due to randomness, Phys. Lett. A 382 (2018) 1298

Planned Learning Activities and Teaching Methods

1. Oral and written teaching
2. Question & Answer Techniques/ Problem solving
3. Presentation
4. Homework

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 PRS PRESENTATION
2 PAR PARTICIPATION
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE PRS * 0.40 + PAR * 0.10 + FIN * 0.50
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) PRS * 0.40 + PAR * 0.10 + RST * 0.50


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

1-Student Presentation
2-Attendence at lectures
3-Paper preparation

Language of Instruction

Turkish

Course Policies and Rules

1. 70% of the participation of classes is mandatory.
2. Every trial of cheating will be punished according to disciplinary proceedings.

Contact Details for the Lecturer(s)

yusuf.yuksel@deu.edu.tr

Office Hours

To be announced

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 10 3 30
Tutorials 3 3 9
Preparations before/after weekly lectures 11 4 44
Project Preparation 1 20 20
Preparing presentations 1 20 20
Preparing assignments 5 10 50
Project Assignment 1 3 3
Final Assignment 1 3 3
TOTAL WORKLOAD (hours) 179

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10
LO.14454145542
LO.25554145542
LO.35554255432
LO.45555235432
LO.55555335532