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 |
Prequisites | None | |||||
Course language | Turkish | |||||
Course type | Elective | |||||
Mode of Delivery | Face-to-Face | |||||
Learning and teaching strategies | Lecture Discussion Question and Answer | |||||
Instructor (s) | Prof. Dr. Mehmet Emre Taşgın | |||||
Course objective | Teaching 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 |
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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
Weeks | Topics |
---|---|
Week 1 | Electric and Magnetic dipoles, Orbital Angular Momentum and Spin Angular Momentum Polarization and magnetization intensity Maxwell's Equations and origin of equations |
Week 2 | Maxwell's Equations (continued) Ampere and Gaussians, Labortromagnetic units Electromagnetic energy and momentum Potentials, fields and Green's functions (basic properties) |
Week 3 | Boundary 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 4 | Calculation 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 5 | MNPs 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 6 | Heat 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 7 | Two coupled MNPs and Fano resonances Pairing of two different life-duration plasmons Analytical demonstration of absorption annihilation with a simple spring model |
Week 8 | Midterm |
Week 9 | Two 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 10 | Chemical/biological sensor applications with Fano resonances Giving information about quantum-point, nitrogen-vacancy center systems Atom's internal structure (hyperfine) and light polarization |
Week 11 | Spacers 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 12 | Self-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 13 | SNOM (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 14 | SERS (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 15 | Presentation of students' simple simulation projects |
Week 16 | Final exam |
Assesment methods
Course activities | Number | Percentage |
---|---|---|
Attendance | 0 | 0 |
Laboratory | 0 | 0 |
Application | 0 | 0 |
Field activities | 0 | 0 |
Specific practical training | 0 | 0 |
Assignments | 4 | 5 |
Presentation | 1 | 5 |
Project | 1 | 10 |
Seminar | 0 | 0 |
Midterms | 0 | 0 |
Final exam | 1 | 30 |
Total | 50 | |
Percentage of semester activities contributing grade succes | 0 | 50 |
Percentage of final exam contributing grade succes | 0 | 50 |
Total | 100 |
WORKLOAD AND ECTS CALCULATION
Activities | Number | Duration (hour) | Total Work Load |
---|---|---|---|
Course Duration (x14) | 14 | 3 | 42 |
Laboratory | 0 | 0 | 0 |
Application | 0 | 0 | 0 |
Specific practical training | 0 | 0 | 0 |
Field activities | 0 | 0 | 0 |
Study Hours Out of Class (Preliminary work, reinforcement, ect) | 14 | 5 | 70 |
Presentation / Seminar Preparation | 1 | 20 | 20 |
Project | 1 | 40 | 40 |
Homework assignment | 4 | 10 | 40 |
Midterms (Study duration) | 1 | 25 | 25 |
Final Exam (Study duration) | 1 | 33 | 33 |
Total Workload | 36 | 136 | 270 |
Matrix Of The Course Learning Outcomes Versus Program Outcomes
D.9. Key Learning Outcomes | Contrubition level* | ||||
---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 |
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest