In the last 50 years, solid state devices like transistors have evolved from an interesting laboratory experiment to a technology with applications in all aspects of modern life. Making transistors is a complex process that requires unprecedented collaboration among material scientists, solid state physicists, chemists, numerical analysts, and software professionals. And yet, as you will see in part 1 of this course (first 5 weeks), that the basics of current flow though solid state …

AFM in liquid

This course introduces you to the materials science and engineering of metals, ceramics, polymers, and electronic materials. Topics include: bonding, crystallography, imperfections, phase diagrams, properties and processing of materials. Case studies are used when appropriate to exemplify the lecture topics. Related courses are mostly focussed on Mechanical Behavior.

Simulate the device-level characteristics of spin-based quantum gates.

This tool gives insight into the basic operation of MESFET devices

Transistor scaling has pushed channel lengths to the nanometer regime where traditional approaches to MOSFET device physics are less and less suitable This short course describes a way of understanding MOSFETs that is much more suitable than traditional approaches when the channel lengths are of nanoscale dimensions. lecture 1 reviews traditional MOSFET theory, and Lecture 2 presents the new approach in its simplest form. Lectures 3A and 3B describe the mathematical treatment of ballistic …

Capacitance of a MOS device

Understanding the effect of silicon doping, oxide (SiO2) thickness, gate type (n+poly/p+poly), and semiconductor type (n-type/p-type) on the flatband voltage, threshold voltage, surface potential and oxide voltage of a MOS-Capacitor.

These courses will be needed always for reference and I intend to come back to them from time to time to recollect ideas that I might have forgotten

This course will provide the conceptual foundation so that a student can use modern statistical concepts and tools to analyze data generated by experiments or numerical simulation.

This course introduces first principles electronic structure calculations of materials properties and the concept of molecular dynamics (MD) simulations of materials focusing on the physics and approximations underlying the simulations and interpretation of their results.

THE OBJECTIVE is to learn and apply fundamental techniques used in (primarily classical) simulations in order to help understand and predict properties of microscopic systems in materials science, physics, chemistry, and biology.

THE EMPHASIS will be on connections between the simulation results and real properties of materials (structural or thermodynamic quantities), as well as numerical algorithms and systematic and statistical error estimations FOR WHOM? This class is oriented for the …

Application of Monte Carlo and Molecular Dynamics techniques in primarily classical simulations to understand and predict properties of microscopic systems in materials science, physics, biology, and chemistry. Numerical algorithms, connections between simulation results and real properties of materials (structural or thermodynamic), and statistical and systematic error estimation using real simulation programs. Simulation project comprised of scientific research, algorithm development, and …

The goal of this series of lectures is to explain the critical concepts in the understanding of the state-of-the-art modeling of nanoelectronic devices such as resonant tunneling diodes, quantum wells, quantum dots, nanowires, and ultra-scaled transistors. Three fundamental concepts critical to the understanding of nanoelectronic devices will be explored: 1) open systems vs. closed systems, 2) non-equilibrium systems vs. close-to-equilibrium systems, and 3) atomistic material representation …

Practical introduction to the operation of transmission electron microscopes. Microscope design and function; imaging and diffraction modes and image content; instrument operation. Required of all students who use the TEM in their research.

Advances in theoretical methodologies and computational power in the last fifteen years have enabled the prediction of phonon properties with high resolution and fidelity. Notably, the use of molecular dynamics simulations, lattice dynamics calculations, density functional theory calculations, and the Boltzmann transport equation have led to thermal conductivity predictions in agreement with experimental measurements for a wide range of materials and a deeper understanding of the underlying...

The goals of this course are to give the student an understanding of the elements of semiconductor physics and principles of semiconductor devices that (a) constitute the foundation required for an electrical engineering major to take follow-on courses, and (b) represent the essential basic knowledge of the operation and limitations of the three primary electronic devices, 1) p-n junctions, 2) bipolar transistors, and 3) field effect transistors, that either an electrical engineer or a computer engineer will find useful in maintaining currency with new developments in semiconductor devices and integrated circuits in an extended career in either field.

This course will provide students with the fundamentals of computational problem-solving techniques that are used to understand and predict properties of nanoscale systems. Emphasis will be placed on how to use simulations effectively, intelligently, and cohesively to predict properties that occur at the nanoscale for real systems. The course is designed to present a broad overview of computational nanoscience and is therefore suitable for both experimental and theoretical researchers. Specific …

The goal of this series of lectures is to explain the critical concepts in the understanding of the state-of-the-art modeling of nanoelectronic devices such as resonant tunneling diodes, quantum wells, quantum dots, nanowires, and ultra-scaled transistors. Three fundamental concepts critical to the understanding of nanoelectronic devices will be explored: 1) open systems vs. closed systems, 2) non-equilibrium systems vs. close-to-equilibrium systems, and 3) atomistic material representation …