Introduction to Electron Microscopy (MAT 571)

2024 Fall
Faculty of Engineering and Natural Sciences
Materials Sci.& Nano Eng.(MAT)
3
10
Burç Mısırlıoğlu burc@sabanciuniv.edu,
Click here to view.
English
Doctoral, Master
--
Formal lecture
Interactive,Discussion based learning
Click here to view.

CONTENT

The course will treat electron optics and diffraction physic as a basis for the advanced course. It will go into the construction and functions of different types of electron microscopes and detectors. The largest portion of the course is devoted to analyzing materials and their defects with the help of electron optics and diffraction physics. A short but essential introduction to analytical electron microscopy and spectroscopic techniques will be given. The course will have 3-4 laboratory exercises to introduce practical issues with the electron microscopy.

OBJECTIVE

To teach the students the theory and the practice of imaging and diffraction using electrons. Students get formal lectures in imaging in SEM and TEM and diffraction in TEM. They also learn spectral analysis in SEM and TEM. They have to apply what they learn in class to practical use in lab sessions.

LEARNING OUTCOMES

  • AIMS ? To teach the student fundamentals of using electrons in imaging of materials and demonstrate the main differences between Electron Microscopy and Optical Microscopy ? To define the limits of scanning electron microscopy (SEM) and introduce the concepts in transmission electron microscopy (TEM). ? To explain the capabilities and science behind the TEM technique. INTENDED LEARNING OUTCOMES 1. Module Specific Skills. By the end of this module, the students should be able to: (a) Know the working principle of SEM and how images are obtained (b) Explain the types of interactions between energetic electrons and matter (c) Define how these interactions are used to carry out spectral analysis (d) Compare SEM and TEM methods and know each technique?s limitations 2. Discipline Specific Skills. By the end of this module, the students should: (e) understand how an electron beam is generated and utilized in imaging (f) know what type of information one can extract from the interactions between electrons and the sample in the SEM and TEM (g) comprehend how various detectors work (h) understand the principle of diffraction and its use in structural characterization. (i) know the differences between various techniques to obtain different contrasts in the TEM. 3. Individual and Key Skills. By the end of this module, the students will: (j) gain an understanding of fundamentals of imaging using electrons (k) be able to reach a level where they can decide which technique they would use in their research. (l) relate various types of contrasts in both SEM and TEM to the processes that might have taken place in materials. (m) be at a level where they will know how to present their results they obtained using electron microscopy in their research. (s) think and make decisions on the path which will enable them to resolve a given issue.

PROGRAMME OUTCOMES


1. Develop and deepen the current and advanced knowledge in the field with original thought and/or research and come up with innovative definitions based on Master's degree qualifications

2. Conceive the interdisciplinary interaction which the field is related with ; come up with original solutions by using knowledge requiring proficiency on analysis, synthesis and assessment of new and complex ideas.

3. Evaluate and use new information within the field in a systematic approach.

4. Develop an innovative knowledge, method, design and/or practice or adapt an already known knowledge, method, design and/or practice to another field; research, conceive, design, adapt and implement an original subject.

5. Critical analysis, synthesis and evaluation of new and complex ideas.

6. Gain advanced level skills in the use of research methods in the field of study.

7. Contribute the progression in the field by producing an innovative idea, skill, design and/or practice or by adapting an already known idea, skill, design, and/or practice to a different field independently.

8. Broaden the borders of the knowledge in the field by producing or interpreting an original work or publishing at least one scientific paper in the field in national and/or international refereed journals.

9. Demonstrate leadership in contexts requiring innovative and interdisciplinary problem solving.

10. Develop new ideas and methods in the field by using high level mental processes such as creative and critical thinking, problem solving and decision making.

11. Investigate and improve social connections and their conducting norms and manage the actions to change them when necessary.

12. Defend original views when exchanging ideas in the field with professionals and communicate effectively by showing competence in the field.

13. Ability to communicate and discuss orally, in written and visually with peers by using a foreign language at least at a level of European Language Portfolio C1 General Level.

14. Contribute to the transition of the community to an information society and its sustainability process by introducing scientific, technological, social or cultural improvements.

15. Demonstrate functional interaction by using strategic decision making processes in solving problems encountered in the field.

16. Contribute to the solution finding process regarding social, scientific, cultural and ethical problems in the field and support the development of these values.


1. Develop the ability to use critical, analytical, and reflective thinking and reasoning 5

2. Reflect on social and ethical responsibilities in his/her professional life. 1

3. Gain experience and confidence in the dissemination of project/research outputs 3

4. Work responsibly and creatively as an individual or as a member or leader of a team and in multidisciplinary environments. 3

5. Communicate effectively by oral, written, graphical and technological means and have competency in English. 5

6. Independently reach and acquire information, and develop appreciation of the need for continuously learning and updating. 5


1. Design and model engineering systems and processes and solve engineering problems with an innovative approach. 2

2. Establish experimental setups, conduct experiments and/or simulations. 4

3. Analytically acquire and interpret data. 5


1. Display knowledge of contemporary issues in molecular biology, genetics and bioengineering and apply them to a particular problem.

2. To develop knowledge and theory by using data and scientific methods in molecular biology, genetics and bioengineering.

3. Display a good command of scientific literature in biology, genetics and bioengineering for developing novel projects, improving the quality of research and products


1. Apply knowledge of mathematics, science, and engineering in computer science and engineering related problems.

2. Display knowledge of contemporary issues in computer science and engineering and apply to a particular problem.

3. Demonstrate the use of results from interpreted data to improve the quality of research or a product in computer science and engineering.


1. To have acquired basic theoretical knowledge and technical infrastructure in the field of cyber security,

2. To have developed a deep experience and understanding on the basic methods and human-induced and techinal weaknesses followed by the existing and future cyber attacks, threats and counterfeiting,

3. To be able to analyze an IT infrastructure comprehensively and to determine risk by monitoring the existing weaknesses and to determine a cyber security strategy,

4. To take the necessary measures to prevent possible costs and destruction during the occurrence of cyber attacks,

5. To be able to use current cyber security software tools and related software for professional purposes


1. Understand the conceptual foundations of analytical methods and techniques for data science

2. Understand the theory and practice of applied information systems by developing the necessary computer software skills

3. Transform high-volume data sets into actionable information format and use statistical data analysis tools to support decision making within the corporate structure

4. Understand and apply quantitative modeling and data analysis techniques to extract information from big data and use these findings to analyze business problems, present results using data visualization tools and report findings

5. Understand data quality, data integrity and data veracity, recognize ethical aspects of business related to intellectual property and data privacy


1. Use advanced Math (including probability and/or statistics), advanced sciences, advanced computer and programming, and advanced Electronics engineering knowledge to design and analyze complex electronics circuits, instruments, software and electronic systems with hardware/software.

2. Analyze and design advanced communication networks and systems, advanced signal processing algorithms or software using advanced knowledge on diff. equations, linear algebra, complex variables and discrete math.


1. Design and model energy systems and processes that will increase efficiency, decrease costs and reduce environmental impact.

2. Develop a basic understanding of the multidisciplinary aspect of energy area and understand the interactions between technical, economic, social and policy aspects.

3. Develop the scientific and technical fundamentals to understand and communicate the working principles of energy systems such as wind turbines, energy storage and conversion devices, electrical power systems, etc.

4. Apply scientific and engineering principles to energy systems for creating innovative solutions to world's energy related problems such as scarce resources, sustainability, energy efficiency and climate change.

5. Interact with researchers from different disciplines to exchange ideas and identify areas of research collaboration to advance the frontiers of present knowledge and technology; determine relevant solution approaches and apply them by preparing a research strategy.

6. Take part in ambitious and highly challenging research to generate value for both the industry and society.


1. Establish a strong theoretical background in several of a broad range of subjects related to the discipline, such as manufacturing processes, service systems design and operation, production planning and control, modeling and optimization, stochastics, statistics.

2. Develop novel modeling and / or analytical solution strategies for problems in integrated production and service systems involving human capital, materials, information, equipment, and energy, also using an interdisciplinary approach whenever appropriate.

3. Implement solution strategies on a computer platform for decision-support purposes by employing effective computational and experimental tools.

4. Acquire skills to independently explore and tackle problems related to the discipline that were not encountered previously. Develop appropriate modeling, solution, implementation strategies, and assess the quality of the outcome.


1. Apply a broad knowledge of structure & microstructure of all classes of materials, and the ability to use this knowledge to determine the material properties. 5

2. Apply a broad understanding of the relationships between material properties, performance and processing. 3

3. Apply a broad understanding of thermodynamics, kinetics, transport phenomena, phase transformations and materials aspects of advanced technology. 3

4. Demonstrate hands-on experience using a wide range of materials characterization techniques. 5

5. Demonstrate the use of results from interpreted data to improve the quality of research, a product, or a product in materials science and engineering. 5


1. Develop abstract mathematical thinking and mathematical intuition.

2. Demonstrate a broad understanding of several areas of advanced mathematics and of their interrelations.

3. Have knowledge of the fundamental and advanced concepts, principles and techniques from a range of topics.

4. The ability to tackle complex problems, reveal structures and clarify problems, discover suitable analytical and/or numerical methods and interpret solutions.

5. Analyze problems of the area of specialization, plan strategies for their solution, and apply notions and methods of abstract and/or applied mathematics to solve them.


1. Apply software, modeling, instrumentation, and experimental techniques and their combinations in the design and integration of electrical, electronic, control and mechanical systems.

2. Interact with researchers from different disciplines to exchange ideas and identify areas of research collaboration to advance the frontiers of present knowledge and technology; determine relevant solution approaches and apply them by preparing a research strategy.

3. Take part in ambitious and highly challenging research to generate value for both the industry and society.


1. To have knowledge and experience in the research, design, analysis and development of advanced manufacturing and production systems and the machinery and equipment of these systems

2. Identify product performance and manufacturing processes relationship and optimize process parameters

3. Interpret the resultant data to improve the quality and performance of a product

4. Research and apply manufacturing engineering knowledge on industrial applications


1. Display knowledge of contemporary issues in physics and apply them to specific problems in the field of study.

2. Interpret and criticize newly developed theoretical models and experimental results in a particular field in physics

3. Display a good command of scientific literature in physics for developing novel projects, improving the quality of research and products

4. Apply knowledge of mathematics to analyze experimental results and to solve problems in physics


1. Employ mathematical methods to solve physical problems and understand relevant numerical techniques.

2. Conduct basic experiments or simulations.

3. Analytically acquire and interpret data.

4. Establish thorough understanding of the fundamental principles of physics.

RECOMENDED or REQUIRED READINGS

Readings

Goldstein, Newburry, Echlin, Joy, Fiori, and Lifshin, Scanning Electron Microscopy and X-ray Microanalysis, Plenum, NYC.
Williams and Carter, Transmission Electron Microscopy 1-4, Plenum, NYC.