The purpose of this course is to provide graduate students with a comprehensive understanding of the theory and applications of inelastic neutron scattering and density functional theory (DFT). These techniques are commonly used in materials science, chemistry, and physics research to study the dynamic and electronic properties of materials.
Students are expected to have a strong background in physics, chemistry, and mathematics at the undergraduate level. It is recommended that students have taken courses in quantum mechanics, statistical mechanics, and solid state physics before enrolling in this course.
Yes, students should have basic programming skills, particularly in Python or a similar language. This is because DFT calculations often require the use of computational software and students will be expected to write scripts to analyze data and perform simulations.
Yes, this course will cover both the theoretical foundations of inelastic neutron scattering and DFT, as well as practical applications. Students will have the opportunity to work with real data and perform simulations using computational software.
This course can prepare students for careers in research and development in industries such as materials science, chemistry, and physics. It can also provide a strong foundation for those interested in pursuing graduate studies in these fields.