NNT755 - SIMULATION of NEXT-GENERATION NANO-IMAGING and DETECTOR TECHNOLOGIES

Course Name Code Semester Theory
(hours/week)
Application
(hours/week)
Credit ECTS
SIMULATION of NEXT-GENERATION NANO-IMAGING and DETECTOR TECHNOLOGIES NNT755 Any Semester/Year 3 0 3 9
PrequisitesNone
Course languageTurkish
Course typeElective 
Mode of DeliveryFace-to-Face 
Learning and teaching strategiesLecture
Discussion
Question and Answer
 
Instructor (s)Prof. Dr. Mehmet Emre TaÅŸgın 
Course objectiveTeaching the principles of new generation imaging, detector and laser technologies (SNOM, SERS, spasers, nano-lasers, Fano resonances, etc.) and simulating these devices with a simple program. Focusing on the synthesis of structures with the desired properties by simulating the optical and thermal properties of nanomaterials before synthesis. 
Learning outcomes
  1. Learns only the basic properties of Maxwell's equations. Since the free MNPBEM simulation package solves nanostructures, it appeals to students from all branches.
  2. Learns new generation imaging/detector techniques such as SNOM, SERS, spasers, Fano resonances and how to simulate them with free programs.
  3. Learns a research tool that can be used in research in various branches and in the industry related to nanotechnology.
Course Content? The course teaches very important concepts such as SNOM, SERS and AKM needle simulation, which are required in hot research topics and can be used in fields such as chemistry, physics, biology, materials science, electricity & electronics.
? This course provides students with the necessary skills to simulate structures obtained by nano-synthesis; It teaches numerical calculation methods of 3-dimensional Maxwell equations and the most popular free program that performs these simulations. 
References? M. E. Taşgın, A. Bek, S. Postacı, Fano resonances in the linear and nonlinear plasmonic response, Chapter 1, E. O. Kamenetskii, A. Sadreev, and A. Miroshnichenko (Editors), Fano resonances in optics and microwaves: Physics and application, Springer Publishing (2018).
? http://physik.uni-graz.at/~uxh/mnpbem/mnpbem.html
? Stefan Alexander Maier, Plasmonics: Fundamentals and Applicatitions, Springer (2007). ISBN 978-0-387-37825-1
? Research papers to be distributed by the course instructor. 

Course outline weekly

WeeksTopics
Week 1Electric and Magnetic dipoles, Orbital Angular Momentum and Spin Angular Momentum Polarization and magnetization intensity Maxwell's Equations and origin of equations
Week 2Maxwell's Equations (continued) Ampere and Gaussians, Labortromagnetic units Electromagnetic energy and momentum Potentials, fields and Green's functions (basic properties)
Week 3Boundary element method (BEM). Introduction to MNPBEM (free) program. Definition of dielectric constant (function), drawing of different shaped nanoparticles (NPs). Teaching particle, comparticle, compoint functions. Transfer of a mesh of different shapes from the outside.
Week 4Calculation of electric and magnetic fields around nanoparticles of different sizes with MNPBEM program. Determination of plasmon resonances (bemret and eigstat) Simulations of hybridization of metal nanoparticles (MNPs)
Week 5MNPs in different solutions Numerical calculation of plasmon modes in different solutions and demonstration of differentiation. Obtaining data of dielectric constants (functions) from article figures.
Week 6Heat generation in nanostructures. Obtaining the temperature of MNP in different solutions. Calculation of heat transfer of a nanoparticle adhering to a cancer cell. Calculation of local temperature in smart glasses.
Week 7Two coupled MNPs and Fano resonances Pairing of two different life-duration plasmons Analytical demonstration of absorption annihilation with a simple spring model
Week 8Midterm
Week 9Two coupled MNPs and Fano resonances (continued) Numerical simulation of the coupling of a molecule (lorentzian dielectric) with a gold/silver MNP; demonstration of Fano resonance in 3 dimensions Comparison with spring (analytical) model
Week 10Chemical/biological sensor applications with Fano resonances Giving information about quantum-point, nitrogen-vacancy center systems Atom's internal structure (hyperfine) and light polarization
Week 11Spacers in chemical solutions (surface plasmon amplification by stimulated emission of radiation) Introduction of different spaser (nano-laser) structures and their applications Intracellular imaging with spacers Demonstration of plasmon lifetime extension in spacers
Week 12Self-assembly of MNP structures such as tetramers, pentamers and hexamers in solution with the help of DNAs. Simulation of these self-assembled MNP structures with MNPBEM, including DNAs, with MNPBEM.
Week 13SNOM (Scanning near-field optical microscopy) Optical imaging using plasmon hotspots. Introduction of the Atomic Force Microscope (AKM). MNPBEM simulation of a gold/silver calcined silicon AKM needle.
Week 14SERS (Surface enhanced Raman Spectroscopy) Enhancement of the Raman signal by plasmon localization Imaging the SERS signal of a single molecule with an AKM needle (Additions will be made to the MNPBEM code)
Week 15Presentation of students' simple simulation projects
Week 16Final exam

Assesment methods

Course activitiesNumberPercentage
Attendance00
Laboratory00
Application00
Field activities00
Specific practical training00
Assignments45
Presentation15
Project110
Seminar00
Midterms00
Final exam130
Total50
Percentage of semester activities contributing grade succes050
Percentage of final exam contributing grade succes050
Total100

WORKLOAD AND ECTS CALCULATION

Activities Number Duration (hour) Total Work Load
Course Duration (x14) 14 3 42
Laboratory 0 0 0
Application000
Specific practical training000
Field activities000
Study Hours Out of Class (Preliminary work, reinforcement, ect)14570
Presentation / Seminar Preparation12020
Project14040
Homework assignment41040
Midterms (Study duration)12525
Final Exam (Study duration) 13333
Total Workload36136270

Matrix Of The Course Learning Outcomes Versus Program Outcomes

D.9. Key Learning OutcomesContrubition level*
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*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest