
Explore transitioning from bulk to atomic nano devices and sensors, using a step-by-step Matlab-based energy approach. Build nanoscale structures like graphene nanoribbons and carbon nanotubes with a systematic stimulator.
Learn how NEGF enables modeling a nano device by connecting channel and contacts, using Hamiltonian, self energies, and transmission to study current under non equilibrium conditions.
Explore how NEGF enables simulating transport through graphene nanoribbons and hybrid graphene boron nitride structures, revealing current, energy confinement, and resonant tunneling effects for nano devices and sensors.
Learn to design a 4-AGNR device by assigning atomic positions, building the Hamiltonian, and extracting I-V characteristics and the transmission-energy diagram.
Design nano devices and sensors, including 4-AGNR, by assigning precise x,y positions to carbon atoms in a honeycomb lattice, using unit cells, lattice constants, and 60-degree geometry.
Learn to build a tight-binding hamiltonian matrix for a nano device channel, using onsite energy and hopping terms, via a 4-atom example in MATLAB to obtain transmission and energy diagrams.
Construct the hamiltonian matrix for a 4-AGNR channel, set the on-site epsilon, and define alpha and beta matrices to connect the channel with left and right contacts for self-energy calculations.
Calculate self-energies and the Green function to determine transmission in a nano device. Explore left and right contact coupling, energy ranges, and the role of Fermi level and band gap.
Learn to calculate self-energies, the green function, and transmission for nano devices using MATLAB, including the surface green function, sigma, and energy dependent T(E) over -8 to 8 eV.
Calculate the i-v characteristic of a 4-agnr graphene nanoribbon device by modeling the voltage distribution with a linear electrochemical potential across the channel and updating the Hamiltonian onsite potentials.
Learn to generate armchair graphene nanoribbon devices of any dimension with a systematic simulator that automatically positions atoms, builds the Hamiltonian, and analyzes energy, band gap, and I-V characteristics.
Develop a systematic simulator for zigzag carbon nanotubes by adapting graphene code, redefining edge connectivity, and updating the Hamiltonian and lattice parameters in MATLAB.
Explore the design of an armchair graphene nanoribbon resonant tunneling diode with a double-barrier structure, analyzing transmission energy diagrams and the emergence of negative differential resistance.
Design an armchair graphene nanoribbon resonant tunneling diode by cutting square regions, updating the Hamiltonian, and evaluating transmission and the IP characteristic.
This course is all about how to design nano-scale systems like super tiny devices and sensors at the atomic scale. If you here, then most probably nanotechnology and its super exciting potentials has attracted your attention and you want to know more, orrr, you want to actually do more. If you want to be part of future technology and industry, let me tell you that you are not alone. Well, there are some introductory courses, but no one gives you the solution and confidence to start designing your own project and research. You may want to intake official syllabuses or programs, then you have to deal with crazy theories and thousands of sophisticated formulas for years and yet have no clue how to design a system. No one likes it, I know….
This course is different. In “Right Vision Academy”, we have designed simple and easy-to-follow procedure to show you how you can use NEGF method to model nanostructures such as Carbon Nnotubes or Graphene Nanoribbons. We suppose you have no prior knowledge about nano-science and we don’t get stuck with quantum theories and formulas. Instead, I’ll show you the steps on how to make your first nanodevice, an AGNR RTD device. We start right away coding with the Matlab, and I’ll teach you the steps you need to build your simulator platform. Together, we’ll develop systematic simulators that allow us to calculate transport properties and current-voltage of GNRs and CNTs with any dimension. Learning by coding is fun, engaging and much more intuitive.
By the end of this course, you will have enough confidence and knowledge to start your own project and research. You will be able to develop and adopt NEGF model to nanostructures and design atomic-scale devices and sensors. Devices like ultra-fast diodes like these structure that I designed and published results of my research in credible journals. Or you may want to make ultra-sensitive atomic gas sensors that overcome every typical sensor. The possibilities are endless, but what matters is where and how to start. By taking this course, I promise that your first step in realm of nanotechnology is a success. This course gives you enough momentum, knowledge and confidence to find your direction and conduct your research. If it sounds exciting don’t hesitate to enroll right now. With 30-days money-back guarantee, there is nothing to lose. I am Milad, your instructor and looking forward to seeing you in the course.
There is no RISK!
I have some preview videos, so make sure to watch them to see if this course is for you. This course comes with a full 30-day money-back guarantee, which means that if you are not happy after your purchase, you can get a 100% refund no question.
What are you waiting?
Enroll now using the “Add to Cart” button on the right and get started today.