PHYS 5398 Introduction to Computational Nano-optics and Nano-technology
Applications of nanotechnology continue to advance significant innovations in sustainable energy, advanced materials, electronics, biotechnology, medicine, consumer supplies, and aerospace. Improved methods of modeling and simulation are required to achieve a more robust quantitative understanding of matter at the nanoscale. Computational techniques will be used to validate hypotheses that may not be accessible through traditional experimentation. Introduction to Computational Nanotechnology will provide students insights into current and emerging methods, opportunities, and challenges associated with the computational techniques involved in nanoscale research. Topics covered include: Modeling of nanoparticles and complex NEMs and MEMs systems; Theory associated with nanoparticles nucleation; Surface modeling of thin films; Simulation methods for various nanotubes, buckyballs and Modeling of graphene metal-oxide-semiconductor field-effect transistors; MATLAB for biological simulations in nanomedicine. Students will learn the future computational directions in the nanoscience field, highlighting the importance of the algorithms, modeling software, and computing tools in the development of efficient nanoscale systems.
Prerequisite
Consent of instructor.
Offered
As scheduled