This combined class and laboratory course complements Materials Characterization in the sense of continuing along the central theme in greater detail. Topics include: a basic overview and general aspects dynamic light scattering; atomic force microscopy; electron spin resonance spectroscopy, solid state nuclear magnetic resonance spectroscopy; Mössbauer spectroscopy, dielectric spectroscopy and impedance spectroscopy. Computational techniques will be given in lab section to show how to simulate spectra by considering the energy functions

The main objective of this course is getting knowledge about the advanced spectroscopic, microscopic and scattering techniques in particular not only magnetic resonance methods but also impedance and Mössbauer, AFM and DLS, respectively. This will enable students to comment on the data that are obtained from these advanced characterization techniques. One of the main learning outcomes of the course is i.e., the student has knowledge of the relationship between the substance structure and its EPR and NMR spectra, which can be applied in the determination of the structure of the unknown inorganic/organic compounds. Student knows the principles of magnetic resonance spectroscopic techniques, along with simulations of isotropic and anisotropic EPR/NMR spectra.

Lecture notes, presentation slides, selected research articles, and supplementary materials will be provided through SUCourse. There is no single required textbook. Recommended references include:

P. Atkins and J. de Paula, Atkins' Physical Chemistry, 8th Edition.
J. A. Weil and J. R. Bolton, Electron Paramagnetic Resonance: Elementary Theory and Practical Applications, 2nd Edition.
J. Keeler, Understanding NMR Spectroscopy.
J. K. G. Dhont, An Introduction to Dynamics of Colloids.

Additional technique-specific readings and research articles will be announced during the semester.

Students should have regular access to SUCourse and a laptop computer. MATLAB will be used for selected computational and spectral-analysis activities associated with MAT 405L. Students are expected to be able to access and analyze numerical and graphical scientific data electronically.